LLM Benchmarking System
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An LLM Benchmarking System is a ML benchmarking system for LLMs.
- Context:
- It can (typically) evaluate Large Language Models across a variety of tasks to determine their performance and capabilities.
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- Example(s):
- HELM LLM Benchmarking Framework, which evaluates LLMs across 42 different scenarios using multiple metrics.
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- Counter-Example(s):
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- See: HELM, GLUE, SuperGLUE, BIG-bench, Benchmarking