Evaluate LLMs and RAG a practical example using Langchain and Hugging Face
Read OriginalThis technical tutorial explores practical methods for evaluating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. It demonstrates a hands-on example using Langchain and the Hugging Face Inference API to assess models like Llama-2 on criteria such as helpfulness and relevance, and discusses using LLMs like GPT-4 as automated judges for evaluation.
0 comments
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
The Beautiful Web
Jens Oliver Meiert
•
2 votes
2
When your coding agent doesn’t understand your project, you’ll get junk
Benjamin Cane
•
1 votes
3
LLM Use in the Python Source Code
Miguel Grinberg
•
1 votes
4
Wagon’s algorithm in Python
John D. Cook
•
1 votes
5
An example conversation with Claude Code
Dumm Zeuch
•
1 votes