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Polski(PL) Mellum2.1 zachowuje architekturę poprzednika, ale w testach JetBrains jego wynik w benchmarku SWE-bench Verified wzrósł z 2,0 do 47,0. Firma przypisuje tę zmian

Mellum2.1 language model sees 23x performance boost in SWE-bench Verified

Mellum2.1, a language model, has seen a significant performance increase in the SWE-bench Verified benchmark, jumping from a score of 2.0 to 47.0. This improvement is attributed to its training methodology, which directly incorporates reinforcement learning within development environments. The model retains the architectural foundation of its predecessor. AI

IMPACT This advancement in Mellum2.1's performance could signal new training methodologies that enhance LLM capabilities in software development tasks.

RANK_REASON The item details a specific benchmark score improvement for a language model, which falls under research milestones. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Mellum2.1 language model sees 23x performance boost in SWE-bench Verified

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The item details a specific benchmark score improvement for a language model, which falls under research milestones. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Polski(PL) · aisight ·

    Mellum2.1 retains the architecture of its predecessor, but in JetBrains tests its SWE-bench Verified benchmark score increased from 2.0 to 47.0. The company attributes this change

    Mellum2.1 zachowuje architekturę poprzednika, ale w testach JetBrains jego wynik w benchmarku SWE-bench Verified wzrósł z 2,0 do 47,0. Firma przypisuje tę zmianę treningowi ze wzmocnieniem prowadzonemu bezpośrednio w środowiskach programistycznych. # si # ai # sztucznainteligencj…