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Tthe_decoder21:23Model releases

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Wwired_ai21:22Model releases

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Aartificialanlys20:19Model releases

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Mmarktechpost17:40Model releases

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Ggoogle_developers_blog08:00First-partyModel releases

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Ggoogle_developers_blog08:00First-partyModel releases

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Aartificial_analysis08:00First-partyModel releases

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Mmarktechpost07:33Model releases

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Ttechcrunch_ai04:31Model releases

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CClément Delangue04:02Model releases

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Reflection launches Beam, an open-source agentic model with 501B total parameters and 23B active

Reflection has released Beam, an efficient open-source agentic model with 501B total parameters and 23B active parameters, emphasizing frontier reasoning efficiency and advancing the Western open-source frontier on coding and agentic tasks, trained end-to-end from scratch. Full weights will be released this month. Hugging Face CEO Clément Delangue reposted the news.

Quoted postReflection · @reflection_ai

Introducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active. - Frontier reasoning efficiency - Advances the Western open frontier on coding & agentic tasks - Trained end-to-end from scratch Full weights release this month. Learn more about Beam: https://t.co/c3Qx2cpM8G

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Tthe_decoder02:29Model releases

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Tthe_decoder00:27Model releases

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Ssciencenet_ai12:40Model releases

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Ssciencenet_ai12:40Model releases

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Mmarktechpost11:01Model releases

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Lliquid_ai08:00First-partyModel releases

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Mmarktechpost16:13Model releases

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