Glossary

The Massive Multi-task Language Understanding (MMLU) Benchmark is a comprehensive assessment tool for Language Models, focusing on evaluating their proficiency and knowledge across diverse fields. It offers a unique test set of over 14,079 tasks, designed to measure the model’s capabilities in problem-solving and understanding complex topics.

Explore the Mixture of Experts (MOE), a potent machine learning method that trains numerous models or ‘experts’ each specializing on a unique input space segment. This ensemble learning technique enhances results by integrating outputs from various models.

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