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How We Built a Leading Reasoning Model (Olmo 3)

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About How We Built a Leading Reasoning Model (Olmo 3)

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It's finally here: The public (and most complete) version of my talk covering every stage of the process to build Olmo 3 Think. This involves changes and new considerations of every angle of the stack, from pretraining, evaluation, and of course post-training. Most of the talk focuses on reinforcement learning infrastructure and evaluating reasoning models, with quick comments on every training stage. I hope you enjoy it, and let us know what to improve in the future! Post on Interconnects: https://www.interconnects.ai/p/building-olmo-3-think Slides: https://docs.google.com/presentation/d/1rhXAPyaflqi5cBS6d6IDiNIvLIBxiOpVb1sfK3hNMmo/edit?usp=sharing Chapters: 00:00:00 Introduction 00:06:30 Pretraining Architecture 00:09:25 Midtraining Data 00:11:08 Long-context Necessity 00:13:04 Building SFT Data 00:20:05 Reasoning DPO Surprises 00:24:47 Scaling RL 00:41:05 Evaluation Overview 00:48:50 Evaluation Reflections 01:00:25 Conclusions Get Interconnects (https://www.interconnects.ai/)... ... on YouTube: https://www.youtube.com/@interconnects ... on Twitter: https://x.com/interconnectsai ... on Linkedin: https://www.linkedin.com/company/interconnects-ai ... on Spotify: https://open.spotify.com/show/2UE6s7wZC4kiXYOnWRuxGv … on Apple Podcasts: https://podcasts.apple.com/us/podcast/interconnects/id1719552353

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