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DeepSeek-V2.5 achieves 76.3% on MATH-500 benchmark

By PulseAugur Editorial · [1 sources] ·

DeepSeek-V2.5, slated for release in December 2024, has achieved a score of 76.3% on the MATH-500 benchmark. This performance metric was independently verified, distinguishing it from self-reported figures often found in press releases. The results are available for comparison against other models on a public leaderboard. AI

IMPACT Independently verified benchmark results provide a clearer picture of model capabilities, aiding in objective comparisons.

RANK_REASON Independent benchmark result for an upcoming model release. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

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

DeepSeek-V2.5 achieves 76.3% on MATH-500 benchmark

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Independent benchmark result for an upcoming model release. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, paper
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High
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52 days old
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    📊 DeepSeek-V2.5 (Dec '24) scores 76.3% on MATH-500. That’s independently measured, not self-reported—so it’s a real benchmark, not a press release. See how it s

    📊 DeepSeek-V2.5 (Dec '24) scores 76.3% on MATH-500. That’s independently measured, not self-reported—so it’s a real benchmark, not a press release. See how it stacks up against the claims: https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI

    LINKS olud.ai/leaderboard.html

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