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DeepNewz, mobile.
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A new open-source reasoning model has been introduced, showcasing preview-level performance and a transparent thought process. This development is anticipated to enhance interpretability research and improve post-training processes, an area where open-source solutions have previously lagged behind state-of-the-art (SOTA) models. Enthusiasts in the AI community express excitement about the potential applications of this model, particularly the possibility of an API that could facilitate innovative reasoning techniques. The model's release is credited to Allen Institute for AI, which has been recognized for its commitment to transparency and detailed updates in its projects.
Great to see more and more open models that have gone through excellent post-training! https://t.co/3mpX2uXuib
i am looking forward to digging into this! the post training process has been the place where OSS has lagged far behind SOTA and these results look like that could be about to change. also huge shout out to @allen_ai for continuing to be open and detailed with their releases… https://t.co/g7yU9x6Us9
Open source o1 style reasoning model? Oh boy I can’t wait for an api. Transparent thought process?! Is that gonna be part of the api?! If so, we got a huge new toy to play with Potential to do some wacky stuff by cutting & recomposing reasoning chains in clever ways? https://t.co/bETCSMWnWY
