What LLM evaluation benchmarks do you know (MMLU, BBH, GSM8K, HumanEval)?

Main benchmarks for evaluating large language models (LLMs):

• MMLU (Massive Multitask Language Understanding) — tests the model's knowledge across a wide range of academic and professional disciplines.
• BBH (Big Bench Hard) — a set of challenging tasks requiring reasoning and comprehensive understanding.
• GSM8K (Grade School Math 8K) — middle school level math problems testing the model's ability to solve arithmetic and logical tasks.
• HumanEval — a set of programming tasks to assess the model's ability to generate correct and functional code.

These benchmarks help objectively compare the quality and capabilities of different LLMs across various fields.