Benchmarking LLMs with QA | CodeSignal Learn

Artificial Intelligence

330 learners

Benchmarking LLMs with QA

Learn how to benchmark large language models using multiple-choice QA, summarization, and scoring techniques like fuzzy matching, ROUGE, and semantic similarity. Compare GPT models across tasks and dive into internal evaluation with log probabilities and perplexity.

OpenAI

Python

4 lessons

15 practices

Less than 2 hours

Course details

Introduction to LLM Benchmarking & Basic QA Evaluation

Loading and Exploring TriviaQA Dataset

Text Normalization for Fair Comparisons

Comparing Answers Beyond Surface Formatting

Evaluating a Single LLM Response

Next Course: Benchmarking LLMs on Text Generation

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