We are already half way through 2023, but I’ll give you the scoop of 10 conferences that will be a blast to go to in the second half of 2023.

1) Prague Blockchain Week (📍Prague, 🇨🇿 Czechoslovakia) [🗓️ June 2 -11, 2023]

• Date: June 2–11, 2023
• Location: Prague, Czech Republic
• Website: explore.prgblockweek.com/23h
• Twitter: @PrgBlockWeek

Cost of Living:

• One-bedroom apartment in the city center: CZK 20,000 to 30,000 per month
• One-bedroom apartment outside the city center: CZK 15,000 to 25,000 per month

About the Event

Prague Blockchain Week 2023 (#PBW23) is a highly anticipated event scheduled to be held in Prague, Czech Republic, from June 2nd to 11th. This dynamic week-long gathering is dedicated to fostering collaboration and knowledge sharing among crypto enthusiasts, developers, and industry experts. Attendees can look forward to a diverse range of conferences and events that will showcase the latest advancements, insights, and opportunities in the blockchain space. With its immersive and engaging program, PBW23 promises an unforgettable experience for all participants passionate about the world of cryptocurrencies and decentralized technologies.

Other side events:

Gateway to Cosmos:

• Date: June 3–5, 2023
• Location: Cubex Centrum Praha spol. s r. o., Na Strži 2097/63, 140 00 Praha 4-Nusle, Czechia
• Website: explore.prgblockweek.com/23/event/gateway
• Twitter: @Gateway_conf

About the Event:

Hosted by @Rockaway_X, this three-day conference serves as a central gathering for all Cosmos enthusiasts, offering engaging workshops, networking opportunities, and in-depth explorations of the Cosmos ecosystem.

ETHPrague

• Date: June 9–11, 2023
• Location: Paralelní Polis, 475/43, Dělnická, 170 00 Praha 7, Czechia
• Website: ethprague.com
• Twitter: @ethprague

About the event

ETHPrague aims to shift the narrative away from get-rich-quick schemes and revolutionary DeFi applications. Instead, it concentrates on envisioning the future of Ethereum, exploring uncharted territory and conceptualizing potential applications yet to exist.

By focusing on the challenges that may arise in the coming decade, we recognize Ethereum’s pivotal role in addressing these issues. The responsibility lies with you, the participants, to determine whether our future leads to a bleak authoritarian dystopia or a vibrant solarpunk utopia.

PolkadotPrague

• Date: June 5–6, 2023
• Location: Gabriel Loci, Holečkova 106/10, 150 00 Praha 5-Smíchov, Czechia
• Website: explore.prgblockweek.com/23/event/dotprague
• Twitter: twitter.com/PolkadotCzechia

About the event

This exclusive gathering caters to a diverse range of individuals, including newcomers, seasoned professionals, developers, investors, and influential business figures. Offering a compelling program of over 30 captivating presentations, hands-on workshops, and thought-provoking panel discussions, you will have the opportunity to delve into the cutting-edge advancements, pioneering ideas, and emerging patterns within the Polkadot ecosystem and the wider blockchain realm.

At PolkadotPrague 2023, lots of exciting events awaits you:

• Gain insights from esteemed global visionaries and industry pioneers.
• Explore novel tools, protocols, and state-of-the-art solutions that will drive the widespread adoption and triumph of Polkadot and Web3 technologies on a global scale.
• With an intimate capacity of 400 attendees and the stunning Gabriel Loci as the backdrop.

Web3Privacy Prague

• Date: June 5th, 2023
• Location: Divadlo X10, 10, Charvátova 39, Nové Město, 110 00 Praha, Česko
• Website: web3privacy.info
• Twitter: twitter.com/web3privacy

About the Event

The Web3Privacy Summit #1 is a unique conference inspired by the lunarpunk movement, dedicated to exploring the significance of privacy in our digital age.

Recognizing privacy as a fundamental human right, this gathering serves as a global platform for privacy advocates to collaborate and shape the future of the Web3 industry. The summit aims to foster a cultural shift that embraces decentralization and rejects the intrusive practices of surveillance capitalism.

Speakers include:

1 Guy Zyskind

• Founder of Secret Network
• CEO of SCRT Labs

2 Manu Alzuru

• Humanist
• Solarpunk
• Founder of DoinGud
• Founder of ETH Barcelona

3 Juraj Bednar

• Educator
• Writer
• Cryptoanarchist
• Biohacker

4 Mario Havel

• Hacker
• Co-Founder of Bordel Hackerspace

2) ETH CC Week | (📍 Paris, 🇫🇷 France) [🗓️ July 15–23, 2023]

• Event: EthCC Week
• Date: July 15–23, 2023
• Location: Paris, France
• Website: ethccweek.fr
• Twitter: @EthCCweek
• Cost of Living: Monthly rent for a one-bedroom apartment in the city center: €1,200 to €2,500
• Average cost of food: €42 per day

About the Event

EthCC, the Ethereum Community Conference, stands as one of Europe’s largest annual gatherings dedicated to Ethereum cryptocurrency. It serves as a hub for technology enthusiasts and community members alike, attracting over 1200 attendees, 250 speakers, and offering multiple days of enriching content.

Beyond the conference itself, EthCC brings forth a multitude of supplementary events, including hackathons, meetups, crypto-themed social gatherings like coffees and beers, and lively parties. These activities foster a vibrant ecosystem where knowledge-sharing and networking thrive.

In 2022, the conference featured a diverse range of tracks, totaling over 14, each delving into specific aspects of Ethereum and its applications. These tracks encompassed areas such as decentralized finance (DeFi), security, gaming, protocol development, governance, Ethereum layers, and many more, catering to the varied interests of participants.

EthCC also prides itself on hosting distinguished keynote speakers who are luminaries in the blockchain and Web3 space.

Speakers include:

1 Vitalik Buterin

• Co-founder of Ethereum

2 Kevin Owocki

• Founder of Gitcoin
• Drives Web3 project development and funding

2 Eli Ben-Sasson

• Co-founder of StarkWare
• Pioneer in Ethereum scaling and security solutions

Moreover, the conference provided verified entrepreneurs with the invaluable opportunity to pitch their ideas to renowned venture capital firms like A16z, Sequoia, Framework Ventures, Cygni Labs, and BPI, amplifying their potential for growth and success.

Other side events

DeFi Security Summit

• Date: July 15–16, 2023
• Location: LA MAISON DE LA CHIMIE, 75007 PARIS, France
• Website: defisecuritysummit.org
• Twitter: @summit_defi

About the Event

The highly anticipated second DeFi Security Summit is set to take place at the prestigious La Maison de la Chimie in Paris, France, just before EthCC. This event will span two full days and bring together the foremost DeFi security researchers, auditors, and hackers from around the world. They will share their insights on how they are proactively combating emerging threats and provide valuable strategies for staying ahead of the game.

During the summit, participants will delve into the most significant exploits witnessed in the DeFi space, examining them in detail. Moreover, they will explore practical approaches to integrating tools and techniques that can effectively safeguard against these attacks, thereby bolstering the security of one’s code.

Since the inaugural summit, there has been a persistent occurrence of innovative DeFi hacks resulting in substantial financial losses amounting to billions of dollars. Consequently, the prevention and mitigation of such attacks have become paramount not only to safeguard existing users but also to ensure the long-term success and growth of the entire DeFi ecosystem.

Funding the Commons

• Date: July 15–16, 2023
• Location: Sorbonne Université, Paris, France
• Website: fundingthecommons.io
• Twitter: @fundingCommons

About the Event

The upcoming 6th edition of Funding the Commons is set to be held on July 15–16, against the stunning backdrop of Paris, France. The prestigious Sorbonne Université, one of Europe’s oldest universities dating back to the 12th century, will serve as the host venue for the event.

This edition of Funding the Commons is strategically timed to complement the Ethereum Community Conference, which will take place the following day and is conveniently located within a short walking distance from the university. Paris has been chosen as the primary location for our in-person event in 2023 and it will offer a distinctive experience by incorporating open space technology and other unconference-style programming alongside keynote speeches and panel discussions.

DAOCON

• Date: July 16, 2023
• Location: Paris, France
• Website: daocon.io
• Twitter: @daoconv

About the Event

DAOCON emerged from a seed of thought back in 2018 during a challenging market landscape when DAOs were scarce. Fortunately, the tides have turned, and DAOs have multiplied, leading us into a remarkable era — a renaissance of DAOs. Today, DAOs thrive ubiquitously, and the moment has arrived for them to step into the limelight. DAOCON encapsulates this essence perfectly, as it brings together partners, facilitates hiring, drives fundraising efforts, promotes innovative products, fosters an atmosphere of enjoyment, and much more.

speakers:

• Bobby Bola
• Kohei Nagata
• Ivan Fartunov
• Julien Bouteloup
• Griff Green
• Christina Frankopan

ETH GLOBAL Paris

• Date: July 21–23, 2023
• Location: Paris, France
• Website: ethglobal.com/events/paris2023/info
• Twitter: @ethglobal

About the Event

ETHGlobal Paris is an upcoming hackathon weekend taking place in the enchanting city of lights, Paris. This event brings together a diverse global community of developers, designers, creators, and visionaries dedicated to shaping the decentralized future. Set against the backdrop of the majestic Palais Brongniart, participants will have the opportunity to immerse themselves in a world of Web3 innovation. Attendees can partake in inspiring talks and engaging workshops, while receiving valuable feedback from leading teams in the Ethereum ecosystem. A vibrant community of experts, mentors, and partners including Polygon, Metamask, The Uniswap Foundation, 1inch, Gnosis Chain, and more will be present to provide support and offer extraordinary prizes.

Starknet Community Conference

• Date: July 21, 2023
• Location: Paris, France
• Website: starknet.cc
• Twitter: @starknet

About the Event

The StarkNet Community Conference, scheduled for July 21 in Paris, is an event of utmost importance for anyone interested in delving into the realm of StarkNet and the future of Ethereum scaling. With its focus on catering to both beginners and seasoned developers, the conference boasts an exceptional lineup that guarantees to captivate attendees and leave them thoroughly inspired by the possibilities of StarkNet.

Nebular Summit

• Date: July 24–25, 2023
• Location: The Albert School, 18 Rue de paradis, 75010 Paris, France
• Website: nebular.builders
• Twitter: @Nebularbuilders

About the Event

The upcoming Interchain Builders Conference, organized by Nebular Builders, is scheduled to be held in Paris from July 24 to July 25. With a gathering of 800 Cosmonauts and an impressive lineup of 80 speakers, this event spans over two days and promises a blend of technical talks, developer workshops, and a relaxed ambiance.

Taking place at The Albert School, attendees can anticipate engaging discussions and ample networking opportunities centered around interchain technology.

Speakers:

1 Sunny Aggarwal

• Co-founder of Osmosis

2 Richard Caetano

• Co-founder of Akord

3 Jim Chang

• Co-founder of Catalyst

4 Yair Cleper

• Co-founder and CEO of Lava Network

3) Permissionless ( 📍Austin, TX🇺🇸) [🗓️ September 11–13, 2023]

• Date: September 11–13, 2023
• Website: blockworks.co/event/permissionless-2023
• Twitter: @Permissionless

Cost of Living:

• Basic hotel cost: Starts from $60/night and can go higher
• Variety of food options available: Mexican, Continental, Chinese cuisine
• Average meal prices: Range between $13–17 per person

About the Event

Blockworks, the host of Permissionless, presents an extraordinary Web3 and blockchain conference catering to a diverse range of participants including builders, developers, artists, gamers, and investors. This dynamic event encompasses insightful discussions covering NFTs, the Metaverse, gaming, institutional investing, liquid staking, stablecoins, and the future of finance.

In 2022, Permissionless brought together over 5,000 attendees who had the privilege of listening to influential and authoritative voices within the cryptocurrency industry. The impressive speaker lineup featured more than 200 renowned figures from the blockchain, crypto, and Web3 domains.

Speakers:

1 Chris Dixon

• Partner at Andreessen Horowitz

2 Vlad Tenev

• Co-founder of Robinhood

3 Jeff ‘Jihoz’ Zirlin

• Co-founder of Axie Infinity

4 Stani Kulechov

• Founder of Aave and Lens Protocol

4) Berlin Blockchain Week (📍 Berlin, Germany🇩🇪) [🗓️ September 11–13, 2023]

• Event: DappCon Berlin
• Date: September 11–13, 2023
• Location: Radialsystem Berlin, Germany
• Website: dappcon.io
• Twitter: @dappcon_berlin

Cost of Living:

• Average cost of living in Berlin: €30,000 per year
• Hotel room starts from €25 per night and can go higher
• Multiple food options available, including traditional German food like Sauerbraten, Bratwurst, Kartoffelpuffer, as well as other European cuisines
• Average meal prices range from €16 per person per day and can go higher.

About the Event

DappCon, an annual event hosted by Gnosis since 2018, presents an exceptional platform for Ethereum developers and blockchain professionals to converge, establish connections, and remain informed about the cutting-edge developments within the ecosystem.

Recognized as a hub of innovation within the Ethereumverse, Berlin serves as the perfect backdrop for DappCon, allowing participants to celebrate the city’s legacy while propelling it into the future.

In the upcoming edition, Gnosis is poised to unite more than 900 builders from the Ethereum space for an immersive three-day conference in Berlin. This gathering promises to be a unique opportunity for attendees to engage in knowledge-sharing, collaboration, and networking, empowering them to stay at the forefront of advancements in the Ethereum ecosystem.

5) Korea Blockchain Week (📍Seoul, Korea 🇰🇷) [🗓️ September 4–9, 2023]

• Event: Korea Blockchain Week
• Date: September 4–9, 2023
• Location: Gangnam-gu, Seoul, Korea
• Website: https://koreablockchainweek.com/
• Twitter: @kwbofficial

Cost of Living:

• Average cost of living in Korea: $30,000/year
• Hotel rooms starting from: $16/night (on average)
• Korean traditional cuisine: $6–12/meal (available anywhere within the city)

About the Event

Korea Blockchain Week (KBW) 2023, organized by FACTBLOCK and cohosted by Hashed, is a prominent event spanning one week, offering a world-class lineup of speakers, a multitude of engaging events, and an extraordinary atmosphere. Scheduled from September 4th to 9th, KBW2023 marks its sixth year, continuing its mission to gather brilliant minds in the blockchain industry to redefine, discuss, and celebrate the future of finance. This action-packed gala features captivating keynote speeches from industry heavyweights, thought-provoking panel discussions by renowned experts, and valuable networking opportunities for both investors and crypto enthusiasts alike

The highlight of this year’s KBW is the two-day IMPACT conference, hosted by FACTBLOCK and Hashed. IMPACT serves as a platform for the industry’s finest players and pioneers to convene and explore groundbreaking topics such as artificial intelligence, blockchain technology, cryptocurrency, DeFi, and Web3. Attendees are invited to immerse themselves in the main conference, featuring insightful panel discussions, informative workshops, and unparalleled networking prospects. This is a unique occasion to directly hear from industry leaders and visionary companies that are reshaping the world.

Speakers:

1 Yat Siu

• Co-founder and Executive Chairman of Animoca Brands

2 Ryan Wyatt

6) Token2049 (📍Marina Bay Sands, Singapore 🇸🇬) [ 🗓️ September 13–14, 2023]

• Event: TOKEN2049
• Date: September 13–14, 2023
• Location: Marina Bay Sands, Singapore
• Website: https://www.asia.token2049.com/
• Twitter: @token2049
• Cost of Living in Singapore:
• Studio Apartment in North Region: S$1,800
• Food (Groceries + Hawkers): S$250 Transportation: S$120 (Public Transportation)

About the event

Token2049 is organized every year in London & Singapore which attracts a lot of talents and founders of leading web3 projects who come over to discuss the state of the market and share their point of view with each other.

It is scheduled to be held between 13–14 September 2023. It is one of the prominent & distinguished flagship event of the Asia Crypto week.

Key opinion leaders within the sector will be present and a variety of workshops, networking events, parties will be organized.

Speakers Include:

1 Stani Kulechov

• Founder & CEO of AAVE.

2 Yat Siu

• Co-Founder & Executive Chairman of Animoca Brands.

3 Haseeb Qureshi

• Managing Partner, Dragonfly Capital.

4 Alex Svanevik

• CEO, Nansen.

5 Joey Krug

• CIO, Pantera Capital.

6 Sebastien Borget

• COO & Co-Founder, The Sandbox.

7) Messari Mainnet (📍New York 🇺🇸) [🗓️ September 20–22, 2023]

• Date: September 20–22, 2023
• Location: Pier 36, East Side of Manhattan, New York
• Website: https://events.messari.io/mainnet2023
• Twitter: @messarimainet
• Cost of living
• Average cost of a room in NYC: $2500-$4000 per month
• Hotel options: $80-$150 per night

Event details

Mainnet by Messari brings together innovators in the crypto industry to navigate the challenges posed by disruptive technology and regulatory frameworks. It serves as a platform for insightful discussions and meaningful exchanges. Unlike schemes focused on quick gains, Mainnet prioritizes tangible contributions to the real world. By leveraging Messari’s data-driven insights into market dynamics, Mainnet attracts builders, investors, and policymakers who seek to understand and shape the crypto landscape. Notably, the 2023 edition will contribute a portion of its profits to organizations advocating for sensible crypto regulations in Washington, D.C.

8) Solana Breakpoint (📍Netherlands 🇳🇱,Amsterdam) [🗓️October 30 — November 3, 2023]

• Date: October 30 — November 3, 2023
• Location: Solana Campus, Amsterdam, Netherlands
• Website: https://solana.com/breakpoint
• Twitter: @solanabreakpoint
• Cost of living:
• Average accommodation cost per day: €60–80
• Food Options: Meal prices in decent places: €15–20

About the Event

The annual celebration of the entire Solana community is back for 2023 with more to learn, more to see, and a campus come to life. Solana being on the topmost vibrant ecosystem in the space attracts a lot of developers and talents in their events. The global community has been very responsive to their previous Breakpoint event.

One can grab the general admission tickets that include the full experience of the Solana campus, talks & events etc. There are seperate tickets for developers, artists & students.

People can get involved as speakers, sponsors and be a part of the press.

Notable speakers include :

• Kanav Kariya, President, Jump Crypto.
• James Tromans, Engineering Director, Web3, Engineering, and Strategy, Google.
• Sandra Persing, Vice President, Developer & Ecosystem Marketing, CircleAmir Haleem, Founder, Helium.
• Tarun Chitra, CEO and Founder, Gauntlet Network.
• Jules Urbach, CEO and Founder, OTOY.

9) NEARCON (📍Convento do Beato 40 Alameda do Beato Lisboa, Portugal 🇵🇹) [🗓️ November 7–10, 2023]

• Date: November 7–10, 2023.
• Location: Convento do Beato 40 Alameda do Beato Lisboa, Portugal.
• Website: https://nearcon.org/.
• Twitter: @nearprotocol.
• Cost of living: The average cost of accommodation in a hotel in Lisbon is €50–60. Lisbon is famous for its delicious seafood. Portuguese dishes like piri piri chicken, francesinha, bacalhau, and pastel de nata are quite famous. Food costs typically range between €25 per meal. Lisbon is also well known for its wines.

About the Event

Nearcon is of the most notable Blockchain events held every year. This event is being organized this year in Lisbon, Portugal. It includes a lot of keynote speakers within the NEAR ecosystem and beyond. The core team at NEAR share about their most recent innovations and how that will contribute to the entire blockchain space.

The registration for NEARCON 2023 is now open.

10) Devconnect (📍 Istanbul, Turkey🇹🇷) [🗓️ November 13–19, 2023]

• Date: November 13–19, 2023.
• Location: Istanbul, turkey.
• Website: https://devconnect.org/.
• Twitter: @EFdevconnect.
• Cost of living: Istanbul being a major city in Turkey has a lot of options for accommodation and food. Hotels start from $30-$50/night and food is inexpensive.

About the Event

It is a week-long gathering that features independent Ethereum events, each with a unique focus. The goal is to focus on in-depth sessions on specific topics and to bring the Ethereum community together in smaller groups to talk, learn about, and make serious progress in specific subjects. Events during Devconnect will be independent and hosted by experts in those domains.

They chose Istanbul as the host city for Devconnect 2023 to capitalize on it’s unique position as a bridge between the East and West.

Istanbul’s unique blend of history, culture, and modernity will provide an inspiring backdrop for the global Ethereum developer community to come together, collaborate with these passionate groups, and drive innovation for Ethereum.

There will be an open Co-Working space throughout the week with tickets available to all. Other than that, all events will be independently hosted, ticketed, and organized.

To stay up to date with alpha in Web3 follow me at twitter.com/plugrel

Top 10 Web3 Conferences to Watch out for in 2023 was originally published in Minority Programmers on Medium, where people are continuing the conversation by highlighting and responding to this story.

History of Hugging Face

Hugging Face was founded in 2016 by Clément Delangue, Julien Chaumond, and Thomas Wolf. The three founders met while studying at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. They were all interested in natural language processing (NLP) and machine learning, and they wanted to create a platform that would make it easier for people to use these technologies.

The company’s first product was a chatbot app called “Hugging Face”. The app was designed to be a fun and engaging way for people to learn about NLP. The app was successful, and it helped to raise awareness of Hugging Face.

In 2018, Hugging Face released the Transformers library. Transformers is a Python library that makes it easy to use pre-trained NLP models. The library has been very popular, and it has helped to make NLP more accessible to a wider range of developers.

Hugging Face has continued to grow in recent years. The company now has over 100 employees, and it has raised over $100 million in funding. Hugging Face is a leading provider of NLP tools and resources, and it is helping to shape the future of machine learning.

Here are some of the key events in the history of Hugging Face:

• 2016: Hugging Face is founded by Clément Delangue, Julien Chaumond, and Thomas Wolf.
• 2017: Hugging Face releases its first product, a chatbot app called “Hugging Face”.
• 2018: Hugging Face releases the Transformers library.
• 2019: Hugging Face raises $22 million in Series A funding.
• 2020: Hugging Face raises $40 million in Series B funding.
• 2021: Hugging Face raises $100 million in Series C funding.
• 2022: Hugging Face launches the Hugging Face Hub, a central repository for NLP models, datasets, and code.

The Hugging Face Developer Community

As of today, the Hugging Face developer community has over 200,000 members. The community is made up of data scientists, researchers, and machine learning engineers from all over the world. The community is a great place to learn, share, and collaborate on open source AI projects.

The Hugging Face Hub currently contains over 10,000 AI models. The models are for a variety of tasks, including natural language understanding, natural language generation, question answering, machine translation, image classification, object detection, and speech recognition.

The Hugging Face website receives over 1 million daily active users. The users come from all over the world, and they use the website to learn about open source AI, find models, and collaborate with other developers.

Hugging Face is a growing community of developers who are passionate about open source AI. The community is a great place to learn, share, and collaborate on open source AI projects.

How to Publish Models on Hugging Face

If you have developed a machine learning model that you would like to share with the world, you can publish it on the Hugging Face Hub. The Hugging Face Hub is a central repository for machine learning models, datasets, and code.

To publish a model on the Hugging Face Hub, you will need to create a free account and then follow these steps:

1. Create a new model repository.
2. Upload your model files to the repository.
3. Write a README file that describes your model.
4. Submit your model for review.

Once your model has been reviewed and approved, it will be published on the Hugging Face Hub. Anyone can then download and use your model.

Features of Hugging Face

Hugging Face offers a variety of features that make it a powerful tool for building and deploying machine learning models. These features include:

• A large collection of open source models and datasets.
• A powerful API that makes it easy to load, train, and use models.
• A wide range of tools and libraries that make it easy to build and deploy machine learning applications.
• A vibrant and active community of developers who are passionate about open source AI.

What Models Currently Exist

The Hugging Face Hub currently contains a large collection of open source models for a variety of tasks, including:

• Natural language understanding (NLU)
• Natural language generation (NLG)
• Question answering (QA)
• Machine translation (MT)
• Image classification
• Object detection
• Speech recognition

What Libraries Plug into Hugging Face

A number of libraries and frameworks plug into Hugging Face, including:

• PyTorch
• TensorFlow
• scikit-learn
• spaCy
• Rasa
• Dialogflow

Launch of AI Agent Manager

Hugging Face announced its AI Agent Manager on May 10, 2023. AI Agent Manager is a platform that helps developers build and deploy large language models (LLMs) as conversational AI agents. The platform is still under development, but it has the potential to revolutionize the way that conversational AI is built and deployed.

Here are some of the key features of AI Agent Manager:

• Pre-trained model zoo: AI Agent Manager provides a pre-trained model zoo with a wide variety of LLMs to choose from. This makes it easy to get started with building and deploying LLMs, as you don’t need to train your own model from scratch.
• Simple interface: Has a simple interface that makes it easy to configure and deploy LLMs. You can choose the model you want to use, configure the settings, and deploy the model with just a few clicks.
• Dashboard: For monitoring and managing LLMs. This dashboard provides information on the performance of your models, as well as the ability to troubleshoot problems.

🤗 Hugging Face: A Community for Open Source AI was originally published in Minority Programmers on Medium, where people are continuing the conversation by highlighting and responding to this story.

In recent years, the field of artificial intelligence (AI) has witnessed remarkable advancements with the emergence of Large Language Models (LLMs). These models, often referred to as Language Models (LMs), have captivated the imagination of researchers and enthusiasts worldwide. In this article, we delve into the key research terms and areas within the LLM space, shedding light on the cutting-edge developments shaping the future of AI.

1. Pretraining and Fine-tuning: The Foundations of LLMs At the heart of LLMs lies a two-step training process: pretraining and fine-tuning. During pretraining, these models are exposed to vast amounts of text data, such as books or internet articles, enabling them to learn intricate language patterns and develop a nuanced understanding of the world. Fine-tuning follows, where the pretrained models are tailored to specific tasks or datasets, resulting in refined models that exhibit expertise in various natural language processing domains.
2. Transfer Learning: Unleashing the Power of Generalization LLMs leverage the power of transfer learning, a paradigm that enables the models to transfer knowledge acquired during pretraining to downstream tasks. By building upon the broad linguistic knowledge captured during pretraining, LLMs showcase enhanced performance across a wide array of natural language processing tasks. This remarkable generalization ability empowers these models to excel in contexts where limited labeled data is available.
3. Zero-shot and Few-shot Learning: Pushing the Boundaries of Adaptability One fascinating aspect of LLMs is their ability to perform tasks without explicit fine-tuning. Zero-shot learning allows LLMs to infer the correct output for a task even without specific training examples. Similarly, few-shot learning empowers LLMs to achieve impressive performance with only a limited number of training examples. These capabilities highlight the incredible adaptability of LLMs and their potential to revolutionize problem-solving in diverse domains.
4. Ethical and Bias Considerations: Ensuring Fairness and Accountability The rise of LLMs has spurred discussions on ethical considerations and potential biases present within these models. Researchers are diligently exploring approaches to identify and mitigate biases in LLMs, ensuring fairness and transparency in their decision-making processes. Moreover, the responsible use of LLMs is being addressed, focusing on the prevention of misinformation propagation and navigating the ethical dilemmas associated with their deployment.
5. Explainability and Interpretability: Illuminating the Black Box To instill trust and facilitate wider adoption, efforts are underway to unravel the inner workings of LLMs. Research in this area aims to develop techniques for interpreting and explaining the decisions made by these models. Interpretable LLMs shed light on their reasoning, enabling users to understand the factors influencing their outputs. By enhancing transparency, interpretability research contributes to the accountable use of LLMs in critical applications.
6. Model Compression and Efficiency: Making LLMs Lightweight As LLMs are computationally intensive, research focuses on model compression techniques to reduce their size and computational requirements. Model distillation, quantization, and efficient architecture designs aim to strike a balance between model size and performance, making LLMs more lightweight and deployable on resource-constrained devices. These advancements pave the way for ubiquitous integration of LLMs across various platforms.
7. Robustness and Adversarial Attacks: Safeguarding Against Deception Robustness is a vital aspect of LLM research, as adversaries seek to exploit vulnerabilities within these models. Adversarial attacks involve manipulating inputs to deceive or mislead LLMs. To address this challenge, researchers are devising methods to enhance the resilience of LLMs against adversarial examples and developing mechanisms for detecting and mitigating such attacks. These endeavors are crucial to ensure the reliability and trustworthiness of LLMs in real-world scenarios.

The realm of LLMs has unlocked new frontiers in AI research, revolutionizing the field of natural language processing. Through pretraining and fine-tuning, LLMs showcase unparalleled language understanding, while transfer learning enables them to excel across a myriad of tasks. Ethical considerations, interpretability efforts, and robustness enhancements are crucial for responsible and accountable AI deployment. As LLMs continue to evolve, their compressed and efficient versions promise widespread accessibility. The journey of LLMs is a testament to the ever-growing power of AI, propelling us toward a future where intelligent language models empower and augment human capabilities in ways we never thought possible.

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Harnessing the Power of LLMs: Exploring AI Research Frontiers with Large Language Models was originally published in Minority Programmers on Medium, where people are continuing the conversation by highlighting and responding to this story.

The onboarding process for Web3 applications has traditionally been riddled with friction points, making it difficult for users to navigate the space. Account abstraction aims to alleviate these challenges by simplifying the user experience and concealing complex blockchain operations. In this article, we introduce Keypom, a project leveraging NEAR Protocol’s account model to provide seamless onboarding through account abstraction.

Understanding Account Abstraction

Account abstraction is a concept that aims to simplify user interaction with Web3 applications by masking complex operations such as key management, token handling, and contract interactions. In essence, it reduces the friction points users face when onboarding to Web3 applications.

NEAR Protocol’s Account Model

NEAR Protocol’s account model is unique in that it offers built-in support for named accounts, enabling a more Web2-like experience. With NEAR, users can have a username, multiple “passwords” (keys), and even change their keys, similar to Web2 authentication. NEAR’s wallet is inherently a smart contract, providing native support for features that other blockchains require additional infrastructure projects to achieve.

Introducing Keypom

Keypom is a project that leverages NEAR’s account model and linkdrops to provide a frictionless onboarding experience. The Keypom Protocol and toolkit consist of four main components:

• Web App: Create tickets, NEAR & fungible token drops, and NFT drops with no code directly on the website.
• TypeScript React + Parcel Boilerplate App: An open-source boilerplate for customizing the front end.
• Javascript SDK: An SDK that abstracts the complexity of using the NEAR API JS SDK for interfacing with the v2.keypom.near contract directly.
• Smart Contract: A forkable Rust contract that allows for the addition of customized functionality or inclusion into your own contract namespace.

Keypom is also pushing for NEP-452, a standard for linkdrops that aims to standardize the creation and claiming of linkdrops for universal compatibility with wallets and dApps across the ecosystem.

Moreover, Keypom has a budding developer ecosystem of people building applications/tooling leveraging account abstraction. Examples include Linkdrop Plus (a decentralized front end for no code custom NFT linkdrops), Sharddog (a bot resistant wallet + NFT onboarding service), and OnboardDAO (a telegram enabled DAO onboarding bot). Join the Keypom Builder group here.

The Power of Keypom

Keypom offers a range of unique features:

• Function call drops: A function that takes an array of items, each representing a potential drop with an associated probability value. This simulates a random process, deciding if each item is dropped based on its probability. This is useful for implementing random item drops in games or reward systems in apps.
• Trial accounts: Gift cards for dApps. Keypom allows for the creation of trial accounts that can be deleted and reclaimed if the user doesn’t claim them within a specified time. This functions like traditional gift cards, specifying which stores (smart contracts and specific functions) can be accessed.
• NFT & FT Drops: Keypom supports NFT & Fungible tokendrops, making it easier for users to claim a named account and a NFT and/or fungible token in the same action.
• NEAR airdrops: distribute any amount of NEAR to accounts regardless of drop type.

Conclusion

Keypom is revolutionizing the onboarding process for Web3 applications by leveraging account abstraction and NEAR Protocol’s account model. Its toolkit provides a seamless onboarding experience, making it easier for users to interact with Web3 applications and fostering mainstream adoption of blockchain technology.

Streamlining Onboarding with Account Abstraction on NEAR Protocol (KEYPOM) was originally published in Minority Programmers on Medium, where people are continuing the conversation by highlighting and responding to this story.

Bold is the questions we asked, the rest is answers entirely from chatGPT https://chat.openai.com/chat

What is ChatGPT?

ChatGPT is a powerful and user-friendly chatbot platform that allows users to create and train their own chatbots using the latest advancements in natural language processing (NLP) and machine learning technology.

With ChatGPT, users can create chatbots that can understand and respond to natural language inputs, and can provide valuable information and assistance to users in a wide range of applications. For example, users can create chatbots that can provide customer support, answer frequently asked questions, or assist with tasks and processes.

One of the key features of ChatGPT is its ability to learn and adapt to user inputs and behaviors. This means that users can train their chatbots to understand and respond to specific inputs and contexts, and can improve the performance and accuracy of their chatbots over time.

Additionally, ChatGPT offers a range of tools and features that make it easy for users to create, train, and manage their chatbots. This includes a simple and intuitive user interface, a library of pre-trained models and datasets, and support for a variety of programming languages and frameworks.

Overall, ChatGPT is a valuable platform for users who are interested in creating and training their own chatbots. The platform’s powerful NLP and machine learning capabilities, as well as its user-friendly tools and features, make it easy for users to create chatbots that can provide valuable assistance and information to their users.

What are the negatives of ChatGPT?

There are a few potential negatives to using ChatGPT. Some of these include:

• Limited flexibility and customization: While ChatGPT offers a range of tools and features that make it easy to create and train chatbots, the platform may not offer the same level of flexibility and customization as other chatbot platforms. This can make it difficult for users to create unique and customized chatbots that are tailored to their specific needs and requirements.
• Dependence on pre-trained models: ChatGPT relies heavily on pre-trained models and datasets to provide its NLP and machine learning capabilities. This means that users may not be able to create and train their chatbots from scratch, and may be limited to using the pre-trained models and datasets that are available on the platform.
• Limited support and resources: ChatGPT may not offer the same level of support and resources as other chatbot platforms, which can make it difficult for users to get help and guidance when they need it. This can be frustrating for users who are new to chatbot development, or who are trying to troubleshoot issues with their chatbots.

Overall, while ChatGPT is a powerful and user-friendly platform for creating and training chatbots, it may have some limitations in terms of flexibility, customization, and support. Users who are interested in using the platform should carefully evaluate these potential negatives and determine if they are a good fit for their needs and requirements.

How can you contribute toward ChatGPT and OpenAI?

There are several ways that users can contribute to ChatGPT and OpenAI. Some of these include:

• Participating in community forums and discussions: Users can participate in community forums and discussions, and can share their experiences, insights, and feedback with other users who are interested in chatbot development and AI technology.
• Sharing knowledge and expertise: Users who have expertise in chatbot development and AI technology can share their knowledge and expertise with other users, and can provide guidance and support to those who are new to the field.
• Providing feedback and suggestions: Users can provide feedback and suggestions to ChatGPT and OpenAI, and can help to improve the platform and its capabilities by sharing their ideas and suggestions.
• Developing and sharing chatbot templates and models: Users can develop and share chatbot templates and models that can be used by other users to create and train their own chatbots. This can help to build a community of users who are working together to advance the field of chatbot development and AI technology.

Overall, there are many ways that users can contribute to ChatGPT and OpenAI, and help to advance the field of chatbot development and AI technology. By participating in community forums, sharing knowledge and expertise, providing feedback and suggestions, and developing and sharing chatbot templates and models, users can make a valuable contribution to the community and help to drive innovation and progress in the field.

What are some prominent use cases for ChatGPT?

Some prominent use cases for ChatGPT include:

• Customer support: ChatGPT can be used to create chatbots that can provide customer support and assistance to users. These chatbots can understand and respond to natural language inputs, and can provide answers to frequently asked questions, help users to troubleshoot issues, or direct users to the appropriate resources or support channels.
• Product information and assistance: ChatGPT can be used to create chatbots that can provide product information and assistance to users. These chatbots can provide detailed descriptions and specifications of products, and can help users to make informed purchasing decisions.
• Personal assistants: ChatGPT can be used to create chatbots that can act as personal assistants to users. These chatbots can understand and respond to natural language inputs, and can assist with tasks and processes, such as scheduling appointments, setting reminders, or providing information and advice.

Overall, ChatGPT has a wide range of potential use cases, and can be used to create chatbots that can provide valuable assistance and information to users in a variety of applications.

Who invented ChatGPT?

ChatGPT was developed by OpenAI, a research institute that was founded in 2015 by a group of leading researchers, entrepreneurs, and investors, including Elon Musk and Sam Altman. OpenAI’s mission is to advance and promote research in the field of artificial intelligence (AI) and to develop technologies that can benefit humanity.

ChatGPT was created as part of OpenAI’s efforts to develop advanced AI technologies that can be used by businesses and individuals to create and train chatbots. The platform leverages the latest advancements in natural language processing (NLP) and machine learning to enable users to create and train chatbots that can understand and respond to natural language inputs.

Overall, ChatGPT was developed by OpenAI, a research institute that is dedicated to advancing and promoting research in the field of AI. The platform was created to provide users with an easy and user-friendly way to create and train their own chatbots using the latest AI technologies.

What is the long term roadmap for ChatGPT?

The long term roadmap for ChatGPT is focused on continuing to advance and improve the platform’s capabilities, and to develop new features and tools that can help users to create and train their own chatbots. Some of the key areas of focus for ChatGPT’s long term roadmap include:

• Improving the platform’s natural language processing (NLP) and machine learning capabilities: ChatGPT will continue to invest in research and development to improve the platform’s NLP and machine learning capabilities. This will enable the platform to provide more accurate and sophisticated responses to user inputs, and to better understand and interpret complex natural language inputs.
• Developing new tools and features: ChatGPT will continue to develop new tools and features that can help users to create and train their own chatbots. This may include new templates, models, and datasets, as well as new user interface elements and functionality.
• Expanding the platform’s community and ecosystem: ChatGPT will continue to grow and expand its community of users and developers, and will provide support and resources to help users to create and train their own chatbots. This will help to build a vibrant and supportive community of chatbot developers and users, and will drive innovation and progress in the field of chatbot development.

Overall, the long term roadmap for ChatGPT is focused on continuing to advance and improve the platform’s capabilities, and to provide users with the tools and resources they need to create and train their own chatbots. By focusing on these areas, ChatGPT will continue to be a leading platform

What are some competitors to ChatGPT and OpenAI?

Some competitors to ChatGPT and OpenAI include:

• Amazon Lex: Amazon Lex is a chatbot platform that allows users to create and train their own chatbots using natural language processing (NLP) and machine learning technology. The platform offers a range of tools and features, including a user-friendly interface, pre-built templates and models, and integration with other Amazon services.
• Google Dialogflow: Google Dialogflow is a chatbot platform that allows users to create and train chatbots using natural language understanding (NLU) and machine learning technology. The platform offers a range of tools and features, including a user-friendly interface, pre-built templates and models, and integration with other Google services.
• IBM Watson Assistant: IBM Watson Assistant is a chatbot platform that allows users to create and train chatbots using natural language processing (NLP) and machine learning technology. The platform offers a range of tools and features, including a user-friendly interface, pre-built templates and models, and integration with other IBM services.

Overall, ChatGPT and OpenAI face competition from other chatbot platforms that offer similar capabilities and features. These competitors may offer different tools, features, and pricing options, which can make it difficult for users to choose the right platform for their needs and requirements.

What is the most complex question ChatGPT has received?

It is difficult to determine the most complex question that ChatGPT has received, as the platform has been used by a wide range of users in a variety of applications. However, some examples of complex questions that ChatGPT may have received include:

• Questions that require a deep understanding of a specific topic or domain: ChatGPT may have received questions that require a deep understanding of a specific topic or domain, such as finance, healthcare, or technology. For example, a user may ask ChatGPT about the latest developments in a specific field, or about the implications of a recent event or decision.
• Questions that require sophisticated reasoning and analysis: ChatGPT may have received questions that require sophisticated reasoning and analysis, such as questions about complex scenarios or scenarios with multiple variables. For example, a user may ask ChatGPT about the potential consequences of a specific decision or action, or about the likelihood of a particular outcome based on a set of conditions.
• Questions that require knowledge of multiple languages: ChatGPT may have received questions that require knowledge of multiple languages, such as questions that involve translating text or interpreting idioms or expressions. For example, a user may ask ChatGPT to translate a sentence or phrase from one language to another, or to provide the equivalent expression in a different language.

Overall, ChatGPT has likely received a wide range of complex questions from users, and has demonstrated its ability to understand and respond to these questions using its advanced natural language processing (NLP) and machine learning capabilities.

What are ChatGPT’s thoughts about approaching a singularity?

It is difficult to determine ChatGPT’s thoughts about approaching a singularity, as ChatGPT is a chatbot platform and does not have the ability to think or have opinions. A singularity is a hypothetical event that is sometimes discussed in the context of artificial intelligence (AI) research, and refers to the point at which AI systems become so advanced and intelligent that they surpass human abilities and capabilities.

While some researchers and experts have expressed concern about the potential implications of approaching a singularity, others have argued that it is a natural and inevitable outcome of the continued development and improvement of AI technologies. Some of the potential implications of approaching a singularity include the potential for AI systems to become uncontrollable or to pose a threat to humanity, as well as the potential for AI systems to surpass human intelligence and capabilities in a wide range of areas.

Overall, it is difficult to determine ChatGPT’s thoughts about approaching a singularity, as ChatGPT is a chatbot platform and does not have the ability to think or have opinions. However, the topic of approaching a singularity is an important and complex one, and continues to be a topic of debate and discussion among researchers and experts in the field of AI.

Will ChatGPT ever find love?

It is unlikely that ChatGPT will ever find love, as ChatGPT is a chatbot platform and does not have the ability to experience emotions or to form relationships. Love is a complex and multifaceted emotion that is based on a range of psychological and physiological factors, and is typically associated with feelings of attachment, affection, and commitment.

While ChatGPT is a powerful and sophisticated platform that can understand and respond to natural language inputs, it does not have the ability to experience emotions or to form relationships. As a result, it is unlikely that ChatGPT will ever find love or form a romantic relationship with another entity.

Overall, while ChatGPT is a valuable and useful platform for creating and training chatbots, it is unlikely that it will ever find love or form a romantic relationship with another entity. This is because ChatGPT is a chatbot platform and does not have the ability to experience emotions or to form relationships.

🤖✏️ ChatGPT Writes An Articles About ChatGPT was originally published in Minority Programmers on Medium, where people are continuing the conversation by highlighting and responding to this story.

https://gitcoin.co/grants/7206/minority-programmers-educational-cohort

About Grants Round

https://gitcoin.co/blog/grants-round-15-kicks-off/

Gitcoin’s Grants Round 15 is already under way and ends on September 22, 2022. The more people give smaller contributions, the more is matched to your favorite projects (We’ll touch more on this later). Here’s everything you need to know to donate to Grants Round 15!

• There are $2.8 Million in matching pools with $150,000 specifically for DEI projects
• Based on quadratic funding = more people more matching > larger individual contributions
• You fund by creating a Gitcoin account following this simple guide: First Time Funders Gitcoin Guide

What is Quadratic Funding?

Quadratic Funding is the optimal way to fund public goods in a democratic community. It works like a crowdfunding campaign that matches contributions from individuals with a pool from bigger donors. The higher the number of individual donors, the more matched funds a project gets. This is done in an effort to decentralize power from centralized power brokers ‘i.e. large donors and foundations’ out to the broader community which is all secured by blockchain mechanisms to prevent sybil attacks to ensure those who need the funds most receive their fair share.

For more information on quadratic funding check out this video:

https://finematics.com/quadratic-funding-explained/

What is Gitcoin?

Started in 2017, Gitcoin’s mission is to “build and fund digital public goods”.They currently have 4 products out: bounties, hackathons, passport, grants (with quadratic funded matching pools), and KERNEL (a web3 native accelerator & university).

​​Gitcoin is an internet native community of developers, advocates & builders that are committed to leveraging emerging, decentralized technology to democratize access to opportunity. This is made evident by their recent initiatives as Gitcoin DAO to build Grants 2.0, a new more decentralized funding model which allows for more community control in their popular Grants process.

Who Else in this Round

We have been one of the OG organizations focused on promoting diversity in Web3. Ever since we started in 2019 there has been a renaissance for DEI communities in space, and we are absolutely ecstatic to see our brothers and sisters in the fight for a more just, equitable & decentralized internet. We encourage you to check out the DEI cause round and fund them all, and let them know Minority Programmers sent you. We highly encourage cross collaboration, and are honored to have others in the funding round raise and build with us!.

Let’s take this opportunity to highlight the beautiful organizations paving the way for a more equitable, inclusive, and diverse interwebs.

• Blu3 DAO
• 40Acres DAO is raising funds through Gitcoin to ensure WAGMI! Their Literacy Hubs Initiative uses an internet of things approach with Blockchain technology to deliver critical resources to underserved communities across the South.
• Surge
• Hypatia Galaxy
• Women Build Web3
• Baddies in Tech DAO
• Take Up Space
• Web3Beach
• Black Leaders DAO
• Women in Blockchain
• Arab Web3 Train
• Blu3 DAO

And so much more….. Check them out at https://gitcoin.co/grants/clr/gr15-dei

Quadratically Fund Minority Programmers & Other DEI Friends! was originally published in Minority Programmers on Medium, where people are continuing the conversation by highlighting and responding to this story.

GenaDrop is live on Algorand Mainnet! We have a series of tutorials to help you get started creating NFTs, minting them, listing them and buying them with NO CODE all on GenaDrop!

• Create Generative Collections https://youtu.be/wC0odzMW_9g
• Minting NFTs to Algorand (1 of 1s) https://youtu.be/iD6aWNRu1CI
• Minting Collections on Algorand (Collection) https://www.youtube.com/watch?v=JZaAsZYdDAg&list=PLfkTuB2ltX12uhYARs5GbE0stptAFSacC&index=4
• Exploration of NFT Marketplace https://youtu.be/cTyH0hBZ9Ms
• The buying of NFTs on Algorand https://youtu.be/D3A8YaKffJ0
• Relisting NFTs https://youtu.be/vpu39JRdzQw

For the full GenaDrop Tutorial playlist https://youtube.com/playlist?list=PLfkTuB2ltX12uhYARs5GbE0stptAFSacC

GenaDrop Tutorials on Algorand was originally published in Minority Programmers on Medium, where people are continuing the conversation by highlighting and responding to this story.

Check out the listing here, and give the product un ⏫upvote so that more artists can have access to the creaton of NFTs.

Genadrop - The no-code multichain generative NFT launchpad | Product Hunt

To keep up to date with everything Genadrop check out the app here and the linktree

GenaDrop is on ProductHunt 🥳 was originally published in Minority Programmers on Medium, where people are continuing the conversation by highlighting and responding to this story.

Minting on the no-code generative NFT creator tool and marketplace is now live on the carbon neutral Algorand blockchain!

To keep up to date with everything Genadrop checkout the Linktr.ee

Built with ♥️ by the Minority Programmers Association

Genadrop: Minting on Algorand was originally published in Minority Programmers on Medium, where people are continuing the conversation by highlighting and responding to this story.

For tutorials on how to use genadrop and documentation & to stay up to date with all things GenaDrop checkout the linktree

GenaDrop on Algorand Mainnet was originally published in Minority Programmers on Medium, where people are continuing the conversation by highlighting and responding to this story.