i haven't kept up since i moved to infra ~1.5 years ago (to take care of pytorch), but Scientists were evaluated in one of three ways (people could do parts of each too):
1. finish a fully formed work, and publish. You'd only get rewarded once the published work is validated as
OPEN SOURCE
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Scientist Evaluation Methods in AI Research and Publication
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OpenSearch RAG Template: Vector Search for LangChain Applications
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RAG with OpenSearch OpenSearch is a flexible, open source database that has recently added vector search capability. This makes it a perfect candidate for RAG applications Our new LangChain Template shows how to get started with OpenSearch https://
templates.langchain.com/?integration_n
ame=rag-opensearch
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LangChain Newsletter: Templates Hub, LangSmith, Benchmarks Released
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Latest LangChain Newsletter is out LangChain Templates Hub
7 days of LangSmith
LangChain Benchmarks
OpenGPTs And LOTS of awesome stuff from our community that we wanted to highlight Read here & sign up to get it in your inbox every other week https://
blog.langchain.dev/week-of-11-27-
langchain-release-notes/
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LangChain Templates Overview: Cognitive Architectures with LangServe Deployment
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Great new of overview of langchain templates (boilerplate for different cognitive architectures) Including how to easily deploy them with langserve
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FAIR Releases Open Source Projects and Datasets for Anniversary
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New open source projects, datasets, and demos released for FAIR's 10th anniversary. https://t.co/uBkcR4QTwi
— Yann LeCun (@ylecun) 1 décembre 2023New open source projects, datasets, and demos released for FAIR's 10th anniversary.
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Yi-34B Model Released as Open Source
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Not implying, but stating emphatically that Yi-34B is open
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Open Source Pre-Trained Model Ranked #1 in English
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Not at all. Our open source is open for global use, and we were ranked #1 pre-trained model using English. Please try it!
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Smaller Open-Source LLMs Can Outperform Larger Commercial Models
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Hot take: bigger isn't always better. Especially when we're talking about #LLMs. Smaller, faster #opensource LLMs can outperform much larger and more expensive commercial LLMs when #finetuned for a task. Try fine-tuning for free: https://
pbase.ai/40YVJRH. -
A Decade of AI Innovation: Meta’s Transformative Contributions
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10 crazy years — pytorch, detectron, segment-anything, llama, faiss, wav2vec, biggraph, fasttext, the Cake below the cherry, and so much more.
Can't say we didn't change AI and to an extent the world. -
PyTorch LLM Inference Optimization Beats Industry Standards
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using simple pytorch code and advanced features, you get LLM Inference speeds that beat most LLM Inference engines out there. Checkout this great post and work from @cHHillee