Llama2 finetunes are here as predicted on the pod
OPEN SOURCE
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LangSmith RAG Testing Webinar and Evaluation Cookbook
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RAG Evaluation Webinar Last week @WHinthorn added a fantastic cookbook using LangSmith to test RAG systems: https://
github.com/langchain-ai/l
angsmith-cookbook/blob/main/testing-examples/qa-correctness/qa-correctness.ipynb
… Come listen to him talk about this (and more) during our evaluation webinar next week! Register for the webinar here: -
SAS Explore Conference: Data Analytics, AI and Open Source Networking
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Data is at the heart of everything we do 📈. You too, can be at the center by experiencing everything data analytics, open source, #AI & lots of networking at SAS Explore.
— SAS Software (@SASsoftware) 19 août 2023
Registration is open, business analysts! Get ahead, and stay ahead 👉 https://t.co/X3CEw8z6OU #ExploreSAS pic.twitter.com/QnFzP5yelJData is at the heart of everything we do . You too, can be at the center by experiencing everything data analytics, open source, #AI & lots of networking at SAS Explore. Registration is open, business analysts! Get ahead, and stay ahead http://
2.sas.com/6015Pimrt #ExploreSAS -
NeurIPS 2023 LLM Efficiency Challenge Quickstart Guide
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Interested in the NeurIPS 2023 LLM Efficiency Challenge or just training your custom LLM on 1 GPU? Wrote a new quickstart guide to get started in ~5 min: https://
github.com/Lightning-AI/l
it-gpt/blob/main/tutorials/neurips_challenge_quickstart.md
… If there's interest, also happy to write an article w. research directions to explore. Let me know! -
Introduction book resource link shared
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There is also an introduction book: https://
probml.github.io/pml-book/book1
.html
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Commercial-Friendly Translation Model Alternatives to NLLB
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can anyone recommend a model similar to https://
huggingface.co/facebook/nllb-
200-distilled-600M
… but with a commercial-friendly license? (NLLB is _awesome_) -
OpenLLaMA: An Open Source Large Language Model Alternative
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You might like OpenLLaMA then: https://
github.com/openlm-researc
h/open_llama
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Llama-2 Base Model and Dataset Considerations Table
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They use Llama-2 as a base model, so that should be okay. I am not a lawyer and can't give advice on the dataset aspect but here is a table from the paper that might be helpful
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Fallbacks Now Work for All Chains Implementation
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Fallbacks also works for all chains! Gist showing that here: https://
gist.github.com/hwchase17/26ec
a9f20031c349bd72fdc669c05a1f
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Predibase and LangChain Partnership for Fine-tuning Open-Source LLMs
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Predibase + @langchain
: The easiest way to #finetune and productionize open-source #LLMs! Our partnership brings production-grade workflows and managed infrastructure to teams that want to build on state-of-the-art open-source #models. Learn more: https://
pbase.ai/3qxmAXd