A very important milestone for me in the AI field.
Summary
The author announces the release of their first AI research paper, STAM (Stable Training with Adaptive Momentum), a new deep learning optimizer addressing stability and resource efficiency, and invites feedback from the AI community.
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A new generation of AI models and one of the most powerful research papers out there.
Token AI releases a research paper introducing STAM, a new adaptive momentum optimizer designed to improve training stability and reduce memory usage compared to standard optimizers like AdamW.
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Woosuk Kim congratulates Reflection AI on releasing Reflection-Beam-1.0, a 501B-total-parameter (23B active) MoE model with 1M-token context, hybrid attention, and Harmony-format reasoning, highlighting AI agents autonomously driving model optimization with tracked performance gains and Day-0 vLLM/SkyRL support.
@dair_ai: https://x.com/dair_ai/status/2061104052818108476
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