ICYMI: Earlier this week, we held a virtual hands-on #workshop for 250+ developers on how to efficiently #finetune and serve your own LLMs that rival #GPT4. Here's the replay for anyone interesting in trying it out:
LLMS
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LLMs in Space: Hardening llm.c to NASA Safety Standards
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Clearly LLMs must one day run in Space Step 1 we harden llm.c to pass the NASA code standards and style guides, certifying that the code is super safe, safe enough to run in Space. https://
en.wikipedia.org/wiki/The_Power
_of_10:_Rules_for_Developing_Safety-Critical_Code
… (see the linked PDF)
LLM training/inference in principle should be super -
Information Theoretic Approaches for Communicative Efficiency in AI
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There was a neat workshop at Interspeech last year on information theoretic approaches e.g. for communicative efficiency, proceedings may be relevant https://
lbit2023.lst.uni-saarland.de/program.html -
Llama3 Local RAG Implementation Code Guide
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Here's the code, assuming you know how to pull and run the models from Ollama. But still, if you face any issues please file a GitHub issue and I can take a look. https://
github.com/Shubhamsaboo/a
wesome-llm-apps/tree/main/llama3_local_rag
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ML NLP LLMs RAG Tips and Tutorials Newsletter
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If you’re interested in:
– ML/NLP
– LLMs
– RAG Connect with me → @Saboo_Shubham_ My Newsletter → https://
unwindai.substack.com Everyday, I share tip & tutorials on above topics on X and my newsletter. -
ML NLP LLMs RAG Tips Tutorials Newsletter
By
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If you’re interested in:
– ML/NLP
– LLMs
– RAG Connect with me → @Saboo_Shubham_ My Newsletter → https://
unwindai.substack.com Everyday, I share tip & tutorials on above topics on X and my newsletter. -
ML NLP LLMs RAG Newsletter Tips and Tutorials
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Thanks for sharing Min! If you’re interested in:
– ML/NLP
– LLMs
– RAG Connect with me → @Saboo_Shubham_ My Newsletter → https://
unwindai.substack.com Everyday, I share tip & tutorials on above topics on X and my newsletter. -
ML NLP LLMs RAG Tips and Tutorials Daily
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If you’re interested in:
– ML/NLP
– LLMs
– RAG Connect with me → @Saboo_Shubham_ My Newsletter → https://
unwindai.substack.com Everyday, I share tip & tutorials on above topics on X and my newsletter. -
LLaMA 3 Context Window Extended to 1 Million Tokens
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Thanks @KalleyHuang and @theinformation for writing about my work extending LLaMA 3’s context window. And shoutout to @winglian @nisten and @markatgradient who took this even further and scaled LLaMA to 1M tokens. Article in next tweet:
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Llama 3 Prompt Documentation Sets Standard for Model Templates
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That's legit the hardest part about getting any model to work at the moment – those prompt templates are so inconsistently documented The Llama 3 prompt docs are genuinely great – very clear, unambiguous – I just wish every other model had docs like that