Lance Martin @RLanceMartin
@LangChainAI, Prev: ML for self-driving (Nuro, Ike, Uber ATG) 🚘 🤖, PhD @stanford 🧪. San Francisco, CA Joined May 2009-
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Fully local RAG agent with Llama3-8b Threw a few things at Llama3-8b on my first test drive (routing, fallback to web search, retrieval / answer grading, RAG). Seems very strong! Short vid building this flow from scratch / initial impressions: youtu.be/-ROS6gfYIts?fe…
My RAG From Scratch tutorial is live on @freeCodeCamp -- covers over a dozen of my favorite papers on RAG w/ accompanying code notebooks (all open source). Thanks @beaucarnes! Video: youtube.com/watch?v=sVcwVQ…
LLM app development is rate-limited by quality evals. There's a paradox of LLM, prompt, etc choice. Recently put together a short guide on setting up custom evals. Playlist (5 min vids): youtube.com/playlist?list=… Code: github.com/langchain-ai/l… x.com/LangChainAI/st…
LLM app development is rate-limited by quality evals. There's a paradox of LLM, prompt, etc choice. Recently put together a short guide on setting up custom evals. Playlist (5 min vids): youtube.com/playlist?list=… Code: github.com/langchain-ai/l… x.com/LangChainAI/st… https://t.co/NdD1hS3ipr
Amazing work breaking down different RAG steps by the one and only @RLanceMartin
Amazing work breaking down different RAG steps by the one and only @RLanceMartin
RAG From Scratch Here's a set of short (5-10 min videos) and notebooks explaining > a dozen of my favorite RAG papers. Took a stab at implementing each idea myself (all code open source) and grouped according to the diagram. Repo: github.com/langchain-ai/r… Video playlist:…
Fun RAG flow I worked on w/ @cohere command-R. Ties together (1) routing, (2) structured output w/ online unit tests, (3) RAG. command-R is good for flows like this b/c it's fast + structured outputs (for online tests) and good at RAG / routing. x.com/LangChainAI/st…
Fun RAG flow I worked on w/ @cohere command-R. Ties together (1) routing, (2) structured output w/ online unit tests, (3) RAG. command-R is good for flows like this b/c it's fast + structured outputs (for online tests) and good at RAG / routing. x.com/LangChainAI/st… https://t.co/kcBoiLSKVB
I enjoyed @simonw's writeup on ColBERT, a nice method for high granularity document embedding from @lateinteraction & @matei_zaharia. Did a deep dive into ColBERT + RAGatouille. Short video, ntbk on usage, and useful links here: x.com/LangChainAI/st…
I enjoyed @simonw's writeup on ColBERT, a nice method for high granularity document embedding from @lateinteraction & @matei_zaharia. Did a deep dive into ColBERT + RAGatouille. Short video, ntbk on usage, and useful links here: x.com/LangChainAI/st… https://t.co/DpEIFvB5WI
I often hear that evals are the most confusing part of creating LLM AI products. It's a shame b/c IMO, domain-specific evals are the most important part of an AI product! I've written a detailed blog post with real examples on how to do this (1/3) hamel.dev/blog/posts/eva…
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Yup that was definitely a good idea
Considering moving from Austin to SF to be able to meet more interesting people in person. People familiar with SF, good or bad idea at this point?
Early 1K votes are in and Llama-3 is on FIRE!🔥The New king of OSS model? Vote now and make your voice heard! Leaderboard update coming very soon.
Big congrats to @AIatMeta on Llama 3 release🔥 A huge week for open-source AI! Both Llama-3 70B & 8B are now in the Arena thanks to @togethercompute fast support. Let's see how well it does in real-world tests by Arena power users, come challenge Llama-3🧩!
EDIT: Ollama is back to full speeds! Scaling ollama.com right now! We're really sorry for the slower performance! 🤯 More than 15TB of network traffic on llama 3 alone in the last hour, with most of it in the last 20 minutes. Ollama will be back at full speeds…
Congrats to @AIatMeta on Llama 3 release!! 🎉 ai.meta.com/blog/meta-llam… Notes: Releasing 8B and 70B (both base and finetuned) models, strong-performing in their model class (but we'll see when the rankings come in @ @lmsysorg :)) 400B is still training, but already encroaching…
We've just uploaded a GGUF of the 8b llama-3 instruct model on @NousResearch's huggingface org: huggingface.co/NousResearch/M…
These numbers are insane. I can't even imagine what the larger one(s) will be. Looks like Mistral 7B might be dead as of today though, and maybe even sonnet lol My favorite is the huge gains in coding capabilities
Llama 3 has been my focus since joining the Llama team last summer. Together, we've been tackling challenges across pre-training and human data, pre-training scaling, long context, post-training, and evaluations. It's been a rigorous yet thrilling journey: 🔹Our largest models…
Models dropped on Hugging Face! huggingface.co/meta-llama/Met… huggingface.co/meta-llama/Met…
Advance RAG control flow with @MistralAI and @LangChainAI! - Inspired by Corrective RAG, Self-RAG, Adaptive RAG - Document routing - Checks docs relevancy, hallucination, answer relevancy youtube.com/watch?v=sgnrL7…
Llama3 8B and 70B are out, with pretty exciting results! * The ~400B is still training but results already look promising. * Meta's own Chat interface is also live at meta.ai * TorchTune integration is shortly going live: github.com/pytorch/torcht…
It’s here! Meet Llama 3, our latest generation of models that is setting a new standard for state-of-the art performance and efficiency for openly available LLMs. Key highlights • 8B and 70B parameter openly available pre-trained and fine-tuned models. • Trained on more…
Zuck on: - Llama 3 - open sourcing towards AGI - custom silicon, synthetic data, & energy constraints on scaling - Caeser Augustus, intelligence explosion, bioweapons, $10b models, & much more Enjoy! Links below
instructors' evals are now live. going to start working on issues for easy to add tests. github.com/instructor-ai/…
🎊 Native function calling on @MistralAI's Mixtral 8x22B model is so cool! No JSON mode was required. Open-source models are getting really smart! In this video, we provided the function to the model, and prompted it. It gave back the correct function name and arguments. 🤯…
Running Mixtral 8x22B Instruct on a M3 MacBook Pro
.@MistralAI's Mixtral 8x22B Instruct is now available on Ollama! ollama run mixtral:8x22b We've updated the tags to reflect the instruct model by default. If you have pulled the base model, please update it by performing an `ollama pull` command.
@RLanceMartin @freeCodeCamp @beaucarnes You're doing great
@RLanceMartin @freeCodeCamp @beaucarnes Always enjoy your content! Thanks for sharing so many great stuff on YouTube!
@RLanceMartin? More like 🌟LanceMartin! Everything you need to know about the current state of RAG in an awesome long-form tutorial:
RAG From Scratch on FreeCodeCamp We recently released a playlist of videos that explain RAG fundamentals and highlights over a dozen advanced RAG papers / methods. This tutorial is now free on @freeCodeCamp! Thanks @beaucarnes and team. Video: youtube.com/watch?v=sVcwVQ…
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