How to scale RL to 10^26 FLOPs (blog.jxmo.io)

Screenshot of blog.jxmo.io: How to scale RL to 10^26 FLOPs

First screen, captured 1 year ago.

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Screenshot of blog.jxmo.io: Zen and the Art of Machine Learning Research

Zen and the Art of Machine Learning Research (blog.jxmo.io)

274 points by jxmorris12 4 months ago | 99 comments

Screenshot of ngrok.com: Prompt caching for cheaper LLM tokens

Prompt caching for cheaper LLM tokens (ngrok.com)

268 points by samwho 10 months ago | 67 comments

Screenshot of blog.jxmo.io: All AI models might be the same

All AI models might be the same (blog.jxmo.io)

282 points by jxmorris12 1 year ago | 132 comments

Screenshot of rerun.io: Robotics Teams Are Rebuilding the Data Stack from Scratch

Robotics Teams Are Rebuilding the Data Stack from Scratch (rerun.io)

27 points by Tycho87 4 months ago | 0 comments

Screenshot of dwarkesh.com: The inefficiency of RL, and implications for RLVR progress

The inefficiency of RL, and implications for RLVR progress (dwarkesh.com)

109 points by cubefox 11 months ago | 40 comments

Screenshot of laurentiugabriel.github.io: How I use LLMs to learn complex topics

How I use LLMs to learn complex topics (laurentiugabriel.github.io)

763 points by laurentiurad 2 months ago | 489 comments

Personal blog post by Laurentiu Raducu describing how he uses LLMs to learn complex topics, including building an interactive chip-making game called ChipTycoon.

llms learning generative-ai education

Looks similar

Zen and the Art of Machine Learning Research(blog.jxmo.io)

Prompt caching for cheaper LLM tokens(ngrok.com)

All AI models might be the same(blog.jxmo.io)

Robotics Teams Are Rebuilding the Data Stack from Scratch(rerun.io)

The inefficiency of RL, and implications for RLVR progress(dwarkesh.com)

How I use LLMs to learn complex topics(laurentiugabriel.github.io)