Benchmarking LLMs on Text Generation | CodeSignal Learn

Artificial Intelligence

330 learners

Benchmarking LLMs on Text Generation

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.

Python

3 lessons

10 practices

Less than 1 hour

Course details

Prompting for Summarization with LLMs

Reading CSV Files with Python

Simplifying Prompts for Better Summaries

Crafting Custom Prompts for Better Summaries

Previous Course Next Course: Scoring LLM Outputs with Logprobs and Perplexity

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