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Strands Decider 2B vs. Claude Opus: Performance on Video Shot Classification

The author compared the performance of Strands Decider 2B against Claude Opus and a keyword regex for classifying video shots. Strands Decider 2B achieved an AUC of 0.91 in 34 ms per judgment using its choice primitive, while Claude Opus reached an AUC of 0.99. A regex focusing on framing words achieved an AUC of 0.90. The Strands Decider 2B's default primitive struggled with generic shots, but all tested models correctly identified repeated scenes. AI

IMPACT Demonstrates varying performance levels between specialized models, general-purpose LLMs, and simpler methods like regex for specific tasks.

RANK_REASON Comparison of LLM performance on a specific task with published results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

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

Strands Decider 2B vs. Claude Opus: Performance on Video Shot Classification

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9 / 100
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Comparison of LLM performance on a specific task with published results. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Efrain Garay ·

    Strands Decider 2B vs LLM as a judge: a keyword regex tied the 2B

    <p>I wanted a cheap judge for my video pipeline: given a shot description, does it have a concrete subject, a visible action and an explicit camera decision, or is it generic? Strands Decider 2B is built for that kind of yes/no call, so I measured it.</p> <ul> <li> <strong>75 sho…