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Português(PT) Testei LLMs no ENEM 2024, e o ranking não diz o que parece

LLM benchmark using ENEM questions shows statistical tie, not clear winner

By PulseAugur Editorial · [1 sources] ·

A benchmark designed to evaluate Large Language Models (LLMs) in Brazilian Portuguese using ENEM 2024 exam questions revealed that a smaller 27-billion parameter model outperformed a 120-billion parameter model. However, the author emphasizes that the statistical tie between the top three tested models means the ranking doesn't tell the full story. The project aims to create a more contextually relevant evaluation for Portuguese speakers by using questions directly from the ENEM exam and accounting for cultural nuances, rather than relying on translated English benchmarks. AI

IMPACT This benchmark offers a more relevant evaluation for Portuguese speakers, potentially influencing model development and adoption in Brazil.

RANK_REASON The item describes a novel benchmark and its initial results for evaluating LLMs in a specific language context. [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 →

LLM benchmark using ENEM questions shows statistical tie, not clear winner

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The item describes a novel benchmark and its initial results for evaluating LLMs in a specific language context. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 Português(PT) · Vitoria AYRES ·

    I tested LLMs on ENEM 2024, and the ranking isn't what it seems

    <p>Um modelo de 27 bilhões de parâmetros ficou à frente de um de 120 bilhões no meu benchmark de ENEM. A manchete seria fácil, mas ela estaria errada: os três modelos que testei empataram estatisticamente.</p> <p>Construí um benchmark aberto para medir LLMs em português do Brasil…

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