Reinforcement Learning from Human Feedback(rlhfbook.com)

118 points by onurkanbkrc 8 months ago | 5 comments

Lessons Learned Reproducing a Deep Reinforcement Learning Paper (2018)(amid.fish)

33 points by tim_sw 3 years ago | 8 comments

How RLHF Works(interconnects.ai)

149 points by natolambert 3 years ago | 30 comments

Reinforcement Learning: An Overview(arxiv.org)

58 points by t55 1 year ago | 8 comments

A (Long) Peek into Reinforcement Learning(lilianweng.github.io)

135 points by Brysonbw 1 year ago | 14 comments

RLHF a LLM in <50 lines of Python(datadreamer.dev)

204 points by patelajay285 2 years ago | 65 comments

RLHF is just barely RL(twitter.com)

337 points by tosh 2 years ago | 201 comments

A post by Andrej Karpathy on X arguing that RLHF is only barely reinforcement learning; the post content did not load in the capture.

Learning to Reason with LLMs(openai.com)

1573 points by fofoz 2 years ago | 1186 comments

OpenAI research post introducing o1, a large language model trained with reinforcement learning to reason using a long internal chain of thought before answering.

Neural networks are clean(already-clean.goodfire.com)

768 points by themgt 11 days ago | 300 comments

An informal research essay by Nick Cammarata at Goodfire arguing polysemanticity stems from fixable issues, not superposition, making neurons interpretable at scale.

Deep Learning Is Applied Topology(theahura.substack.com)

473 points by theahura 1 year ago | 176 comments

A Substack essay from 12 Grams of Carbon arguing that deep learning is applied topology, explaining how neural networks transform data lying on manifolds.

The new skill in AI is not prompting, it's context engineering(philschmid.de)

832 points by robotswantdata 1 year ago | 467 comments

Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.

Artificial intelligence is losing hype(economist.com)

453 points by bx376 2 years ago | 663 comments

An Economist Free exchange column arguing that artificial intelligence is losing hype and asking whether that signals the technology will eventually succeed.