Eugene Yan • 3/31/2024

Task-Specific LLM Evals that Do & Don't Work

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This article analyzes task-specific evaluation methods for Large Language Models (LLMs), focusing on classification, extraction, summarization, and translation. It details which metrics (like ROC-AUC, BLEURT, NLI) work well and which don't, and covers specialized evals for copyright regurgitation and toxicity. It also discusses the role of human evaluation and calibrating the evaluation bar for production use.

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#classification #Translation #LLM Evaluation
Task-Specific LLM Evals that Do & Don't Work

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