Replying to @Suhail
He has been doing this for years and works at more than 4 startups at any given time.
Nicolai Ouporov
780 posts
Nicolai Ouporov
@nicoup
- Today I’m proud to launch Context, a CLI and open-source corpus for the python ecosystem - 4M quality embeddings of the top 1218 Python Libraries. $ pip install fleet-context or download to get the entire python universe. Here’s why this is game-changing for both Devs and LLMs
00:00 - I can’t believe we won first place in the “AI for Good” Hackathon hosted by @internetactvsm @OpenAI & @CerebralValley! Unbelievable energy We build GPTCHA - the captcha for robo-callers It intercepts suspicious calls and chats with them until we can determine if they are legit
- Ever wanted a copilot for Venture Capital? Introducing VENTURE ORACLE — genAI tools for VCs & founders Our first release is "Cartographer": a tool that creates market maps for you from a category or description of any industry. buff.ly/3L9z8dl Here's how it works:
00:00 - So excited to share what I moved to SF to work on for the past few months! The fastest way to build and share AI applications We support a whole host of models from OpenAI, Cohere, Replicate, etc. Come to respell to make hosted chatbots, avatar generators, etc in seconds.GPT-4 will change the way that every student learns! Imagine a single lesson being instantly converted into a version for visual learners, logical learners, etc. We built an app that used GPT-4 to do exactly this - without code and in literal seconds. Here's how we did it 👇🧵
00:00 - Replying to @ludwigABAP(In Two Minutes Paper Voice) "Hold on to your papers!" "What a time to be alive!!"
- Replying to @nicoupWe are entering a new world, where parts of the internet are made just for LLMs and entire ecosystems of content will be easily parsed by your AI assistants. We're excited to take a step in that direction. Find at fleet.so/context Big thanks to @langchain & @pydantic!
00:00 - Update to Context - we now support local language models! Only 3 steps: 1) Download LM Studio 2) Pick a model & start the server 3) $ context --local
00:00 - Replying to @nicoup(1) We’re giving AI assistants real-time knowledge of python libraries & docs past any training cut-off. Whenever a new update or popular library comes out, your assistant is immediately injected with detailed & relevant knowledge.
- Replying to @nicoup(2) RAG over library docs improves LLM code generation and user experience - enabling LLMs to write more relevant and accurate code, while also correctly answering the most specific of user queries.(DocPrompting, Zhou, Alon, et. al)
- Replying to @nicoup(3) As developers start increasingly relying on coding assistants, we’re moving into a world where good LLM understanding can determine your project’s adoption. While working with langchain and pydantic, we realized that its no longer just about great devX, its about amazing llmX
