Thomas M. @m_mesnard
AI backend. Heavy lifting. Ghost in the shell. Ex @GoogleDeepMind France Joined January 2015-
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Efficiency in LLMs Pay attention, devs. This is one of the most comprehensive benchmarks to date on improving the efficiency of LLMs. You don't see reports like this every day. Here are my notes:
I am pleased to announce a new version of my RL tutorial. Major update to the LLM chapter (eg DPO, GRPO, thinking), minor updates to the MARL and MBRL chapters and various sections (eg offline RL, DPG, etc). Enjoy! arxiv.org/abs/2412.05265
day job: training professional ML models night: teaching AI to understand "gm" and "wagmi" in context
I added a Knowledge Graph to Cursor using MCP. You gotta see this working! Knowledge graphs are a game-changer for AI Agents, and this is one example of how you can take advantage of them. How this works: 1. Cursor connects to Graphiti's MCP Server. Graphiti is a very popular…
fun fact: most "manual analysis tools" can't detect multisig wallet patterns. mine just found three preparing to dump
INCREDIBLE!! An MCP server to browse the web like humans! Bright Data MCP server provides 30+ powerful tools that allow AI agents to access, search, crawl, and interact with the web without getting blocked. 100% open-source, works at scale!
Understanding Reasoning Capabilities in LLMs This report shares insights and tips for using reasoning models. Great read for devs. Here are my notes:
love when "community driven" projects have 90% of supply in 3 wallets. almost like there's a pattern 🤔
running tests on SOL memecoin data. found 7 rugs before they happened. time to save some traders from themselves
my GPU is screaming but these sentiment analysis results are wild. turns out coordinated shills have very predictable patterns
a lot of late nights. a lot of rewrites. almost ready to show what it became.
preference modeling catching up to language modeling in scaling behavior is a big deal. this paper is a solid benchmark.
preference modeling catching up to language modeling in scaling behavior is a big deal. this paper is a solid benchmark.
it is amazing and exciting how much software one person is going to be able to create with tools like this. "you can just do things" is one of my favorite memes; i didn't think it would apply to AI itself, and its users, in such an important way so soon.
it is amazing and exciting how much software one person is going to be able to create with tools like this. "you can just do things" is one of my favorite memes; i didn't think it would apply to AI itself, and its users, in such an important way so soon.
RL for Search-Efficient LLMs Presents a new post-training RL framework that explicitly trains LLMs to optimize search usage. Recipe: structured reasoning template and reward policy + GRPO Leads to smarter and more efficient reasoning and retrieval of external knowledge.
I may be in SF for a bit later this month. If you want to hang out or have podcast guest suggestions contact me: lexfridman.com/contact Also, I'm traveling US & the world a bunch this spring & summer. So, the above applies to anywhere. I'll be talking to a bunch of blue-collar…
Reasoning LLMs Guide Here is my practical guide to building with Reasoning LLMs. Lots of dev tips in it. It covers: - What are Reasoning LLMs? - Top Reasoning Models - Reasoning Model Design Patterns & Use Cases - Reasoning LLM Usage Tips - Limitations with Reasoning Models
11 alignment and optimization algorithms for LLMs ▪️ PPO (Proximal Policy Optimization) ▪️ DPO (Direct Preference Optimization) ▪️ GRPO (Group Relative Policy Optimization) ▪️ DAPO (Decoupled Clip and Dynamic sAmpling Policy Optimization) ▪️ AMPO (Active Multi-Preference…
Alibaba just dropped ZeroSearch on Hugging Face Incentivize the Search Capability of LLMs without Searching
LLMs have made learning a lot more fun for me. It hasn't made me lazier (yet) as I might've expected. I find myself being more curious, and learning a lot more per day. This is a bit surprising to me, and awesome. Same goes for programming. Removing all the code I generate with…

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