If you find this stuff interesting, and haven't seen the @GoogleDeepMind AlphaGo documentary, put it on your priority list. It's amazing, and will help you understand some of the near-term advancements we can expect from LLMs (specifically Google's forthcoming Gemini model).
GENERATIVE AI
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What’s Next for Large Language Models in 2024
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What's next for Large Language Models (LLMs)? This is something every business leader should be considering as they plan for 2024. @karpathy a leading AI researcher at OpenAI, and former director of AI for Tesla, recently published a 1-hour Intro to LLMs YouTube video that
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Anthropic, Inflection, Microsoft debut three new LLMs
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Amidst all the @sama drama, last week was also big for @OpenAI
's key rivals and partners. For today's @Digiday AI Briefing, I wrote about three other #GenAI companies — @AnthropicAI
, @inflectionAI & @Microsoft — that debuted three new LLMs in three days. -
OpenAI API Usage Tracking by Key Release
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Would you be excited / would it be useful if we released usage tracking based on API key for the @OpenAI API? cc @andrwpng
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LangSmith Platform Demo: Building Production-Ready Gen AI Apps
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We put together a LangSmith demo to show how the platform can help you build production-ready gen AI applications faster and more reliably! Check out these 7 videos, each <10 min, and you'll be a pro in under an hour! https://
youtube.com/watch?v=bOaDQU
CgKjw&list=PLfaIDFEXuae2CjNiTeqXG5r8n9rld9qQu
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Q-Learning Explained: Tech Stocks Market Trends Analysis
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Sell-side most interesting: What is Q*? Relax, the fabled Q* is merely Q-Learning, says New Street, plus, Lucid’s demand problem, a lackluster Black Friday, and cheers for CrowdStrike. https://
thetechnologyletter.com/the-posts/sell
-side-most-interesting-what-is-q
… @p_ferragu $NVDA $MSFT $LCID $CRWD -
Open-source LLMs: Smaller, faster, cheaper alternatives to commercial models
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Open-source LLMs like #Llama2 are smaller, faster & cheaper than commercial #LLMs like @OpenAI #GPT4 — and best of all, when fine-tuned they can deliver equivalent if not better performance Join our webinar to learn how you can get started #finetuning. https://
pbase.ai/49RLm6a -
Local RAG with Qdrant, Ollama, LangChain and LangServe
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Fully Local RAG with Qdrant, Ollama, LangChain and LangServe We're seeing more & more interest in local RAG, and as such we're excited to share a great walkthrough from Data Drifters Uses @qdrant_engine & @Ollama_ai to do this all locally Blog: https://
medium.com/@datadrifters/
fully-local-rag-with-qdrant-ollama-langchain-and-langserve-10d4dd1facbc
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Skeleton-of-Thought: Parallel Decoding Reduces LLM Latency
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Skeleton-of-Thought (new LangChain Template!) Large Language Models can do parallel decoding A recent paper by Tsingua University and Microsoft Research shows how to decrease the end-to-end generation latency of LLMs The technique first guides LLMs to generate the
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GPT-4 ArXiv Paper Assistant Bot for Personalized Research
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tatsu-lab/gpt_paper_assistant: GPT4 based personalized ArXiv paper assistant bot https://
bit.ly/3uysUPI #AI #MachineLearning #DeepLearning #LLMs #DataScience