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Natural Language Processing

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

See path

4 lessons

15 practices

1 hour

Course details

Introduction to LLM Benchmarking & Basic QA Evaluation

Preview

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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From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11