Recent podcast with @apsdehal , my college senior and mentor who has raised >$100 Mn for @ContextualAI
youtube.com/watch?v=4tQu4e…
Low quality video, high quality content if you want to get into AI.
Amanpreet Singh
640 posts
Amanpreet Singh
@apsdehal
something new
- 🎉🎉Personal Update: Today is my first day @huggingface. I will be joining the research team in Palo Alto, CA. I am excited to do amazing open-science multimodal research here so look out for new things from me. 🤗
- We're hiring both winter and summer research interns at Contextual AI! Apply at contextual.ai/careers/?gh_ji… if you're interested in working on RAG, LLMs, retrieval, alignment, synthetic data, evaluation, and multimodal related topics with our amazing research team.
- LLMs can now handle computer vision and visual reasoning tasks. 🔥 Introducing LENS 🔎, a modular approach that empowers any LLM to perceive and reason about images. 👁️ Demo: lens.contextual.ai Blog: contextual.ai/introducing-le… A 🧵 on why we did it [1/N]
Announcing LENS 🔎, a framework for vision-augmented language models. - Outperforms Flamingo by 9% (56->65%) on VQAv2 - Eliminates the additional cost of multimodal pre-training Demo: lens.contextual.ai Blog+Paper+Code: contextual.ai/introducing-le… A 🧵 [1/N] - 🚨 GLUE SoTA Alert 🚨 ALBERT (Ensemble) by Google Language team achieves 89.4 score on the GLUE benchmark. 😱 Looking forward to the manuscript.
- Life update! Very excited to share that @douwekiela and I are officially launching our new company: @ContextualAI! 🎉 LLMs will fundamentally transform how enterprises work and that's why we are building the next generation of LLMs that actually work for enterprise use cases. 1/2
- ImageNet-1k dataset is now available on @huggingface 🤗 hub. Try it now at: huggingface.co/datasets/image…. We are continually improving the computer vision and multimodal support in 🤗 ecosystem. Look forward to more exciting things coming out soon.
- Proud to announce that the Contextual AI Platform is now generally available! We set new state of the art across the RAG stack, while consistently outperforming GPT-4o and Claude-3.5-Sonnet-powered RAG agents 🥇. This sota performance extends across every critical dimension of
- Vision and language research has made great progress, but how good are we really, and what are we still missing? We examine these questions in Human-Adversarial VQA: arxiv.org/abs/2106.02280 1/6
- Super excited to announce that we've raised our Series A! I'm very proud of what we've achieved as a team over the past year, and we're just getting started. 🚀🚀We’re excited to share today that we’ve raised $80M in Series A funding to accelerate our mission to change the way the world works through AI. Read more at our blogpost: contextual.ai/news/announcin…
- Now, ImageNet-1K can be downloaded in just two lines using the @huggingface datasets library! Thanks to @MarioSasko, manual download is no longer needed.
ImageNet-1k dataset is now available on @huggingface 🤗 hub. Try it now at: huggingface.co/datasets/image…. We are continually improving the computer vision and multimodal support in 🤗 ecosystem. Look forward to more exciting things coming out soon. - SotA V&L models often target specific modalities or tasks. With our fully open source FLAVA model, we aim to move beyond that. FLAVA works on a wide range of 35 tasks like image classification, NLU, retrieval and visual reasoning. Presenting it tomorrow at #CVPR2022. A 🧵 (1/N)
- Key takeaways for me: - In-context learning is extremely fragile - Our evaluations are probably not accurately measuring meaningful outcomes - Standardized and reproducible benchmarks are ever so important - one of the core reasons we built the GLUE/SuperGLUE benchmarksWhat was going on with the Open LLM Leaderboard? Its numbers didn't match the ones reported in the LLaMA paper! We've decided to dive in this rabbit hole with friends from the LLaMA & Falcon teams and got back with a blog post of learnings & surprises: huggingface.co/blog/evaluatin…
- ERNIE from Baidu becomes first submission to cross 90 on GLUE Benchmark. Original ERNIE paper: arxiv.org/abs/1907.12412…
