摘要：網頁2023年12月6日 · With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU (massive multitask language understanding), which uses a combination of 57 subjects such as math, physics, history, law, medicine and ethics for testing both world...網頁2023年12月6日 · With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU (massive multitask language understanding), which uses a combination of 57 subjects such as math, physics, history, law, medicine and ethics for testing both world
網頁MMLU (hendrycks_test on huggingface) without auxiliary train. It is much lighter (7MB vs 162MB) and faster than the original implementation, in which auxiliary train is loaded (+ duplicated!) by default for all the configs in the original version, making it quite heavy.
網 頁 M M L U ( h e n d r y c k s _ t e s t o n h u g g i n g f a c e ) w i t h o u t a u x i l i a r y t r a i n . I t i s m u c h l i g h t e r ( 7 M B v s 1 6 2 M B ) a n d f a s t e r t h a n t h e o r i g i n a l i m p l e m e n t a t i o n , i n w h i c h a u x i l i a r y t r a i n i s l o a d e d ( + d u p l i c a t e d ! ) b y d e f a u l t f o r a l l t h e c o n f i g s i n t h e o r i g i n a l v e r s i o n , m a k i n g i t q u i t e h e a v y .
網頁2023年6月15日 · CMMLU: Measuring massive multitask language understanding in Chinese. As the capabilities of large language models (LLMs) continue to advance, evaluating their performance becomes increasingly crucial and challenging. This paper aims to bridge this gap by introducing CMMLU, a comprehensive Chinese benchmark that …
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網頁README. CMMLU---中文多任务语言理解评估. 简体中文 | English. 📄 论文 • 🏆 排行榜 • 🤗 数据集. 简介. CMMLU是一个综合性的中文评估基准，专门用于评估语言模型在中文语境下的知识和推理能力。 CMMLU涵盖了从基础学科到高级专业水平的67个主题。 它包括：需要计算和推理的自然科学，需要知识的人文科学和社会科学,以及需要生活常识的中国驾驶规则等。…
網頁MMLU ( Massive Multitask Language Understanding) is a new benchmark designed to measure knowledge acquired during pretraining by evaluating models exclusively in zero-shot and few-shot settings. This makes the benchmark more challenging and more similar to how we evaluate humans.
網頁MMLU（Massive Multitask Language Understanding）是一个大规模、多任务的语言理解项目，旨在评估和提升语言模型在各种语言理解任务上的能力。 该项目涵盖了广泛的主题和领域，如历史、文学、科学、数学等，通过这些多样化的主题挑战模型的理解能力和知识广度。 MMLU 的核心在于其包含的多项选择题数据集，这些数据集从各种来源汇集而来，包括教 …
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網頁cais. / mmlu. like. 162. Tasks: Question Answering. Sub-tasks: multiple-choice-qa. Languages: English. Multilinguality: monolingual. Size Categories: 10K
網頁Gemini is the first model to outperform human experts on MMLU (Massive Multitask Language Understanding), one of the most popular methods to test the knowledge and problem solving abilities of AI models.
網頁README. MIT license. Measuring Massive Multitask Language Understanding. This is the repository for Measuring Massive Multitask Language Understanding by Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt (ICLR 2021).
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