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LLM Evaluation Techniques in Practice

Natural Language Processing

4 courses

51 practices

4 hours

Master practical LLM evaluation by benchmarking models on QA and text generation, using metrics like fuzzy matching, ROUGE, and semantic similarity. Learn to analyze logprobs, perplexity, and model behavior for robust, real-world NLP assessment.

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Verified skills you'll gain

DEVELOPING

NLP Model Evaluation and Optimization

DEVELOPING

Large Language Models

Tools you'll use

OpenAI

Python

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Course 2

Benchmarking LLMs on Text Generation

3 lessons

10 practices

This course explores benchmarking for open-ended generation tasks like summarization. You'll experiment with different prompting styles, compare models like GPT-3.5 and GPT-4, and evaluate results using both fuzzy string similarity and semantic similarity via embeddings.

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Course 3

Scoring LLM Outputs with Logprobs and Perplexity

4 lessons

13 practices

In this course, you'll explore how to evaluate the fluency and likelihood of LLM outputs using internal scoring signals like log probabilities and perplexity. You'll work with OpenAI's completion models to analyze how models "think" under the hood. This course builds naturally on the first two by focusing on model-internal evaluation instead of external references.

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Course 4

Behavioral Benchmarking of LLMs

4 lessons

13 practices

In this course, you’ll experiment with deeper aspects of LLM evaluation: token usage efficiency, temperature sensitivity, model output consistency, and detecting hallucinations. Through lightweight API experiments, you’ll develop intuition for how models behave beyond accuracy scores.

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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