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@gaotianyu1350
@Meta MSL and incoming assistant prof. @UCSanDiego. Prev @OpenAI @Princeton @Tsinghua_Uni
AI
A researcher says frameworks for deriving batch-size scaling rules are less general than they claim.
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Meta says Muse Wonder launched through its Model API and Muse Code, while Full was available to Muse Code subscribers.
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A user’s summary says TailSFT records each training example’s loss before supervised fine-tuning, then excludes the most-improved examples in each batch from model updates.
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Meta AI executive announces public release of updated model with performance claims.
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Artificial Analysis calls out its edge on cost per intelligence task.
AI
Retweet by Meta executive highlights release of updated model from Xiangning Chen.
