I re-recorded the post-training part of our NeurIPS tutorial on language models, added some more slides, and wrote up a mini state of the union on Interconnects AI. Enjoy! Links in QT. 00:00 Introduction 10:00 Prompts & Skill Selection 14:19 Instruction Finetuning 21:45 Preference Finetuning 36:17 Reinforcement Finetuning 45:28... Open Questions 52:02 Wrap Upshow more

Second, I think YouTube is an important distribution mechanism for AI research and education. Lmk if there's something I should do more of.

Also continuing to plug away at rlhf book but waiting to announce until v1

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@interconnectsai Best talk at NeurIPS this year IMO. Everyone should watch.

@interconnectsai Thanks for the Knowledge Nathan

@interconnectsai Thanks for sharing @natolambert. Saw the series of talks at NeurIPS this year as well, very informative.

@interconnectsai Excellent re-record, Nathan! Your insights on instruction and reinforcement fine-tuning are spot on. Curious about their real-world applications. Diving into the blog now.

@interconnectsai What are your thoughts on post-training for JSON outputs and function calling?

@interconnectsai Nice talk, would you mind sharing the slides?

@interconnectsai Thanks for the knowledge

@interconnectsai Thanks for sharing!