Philipp Schmid • 3/12/2024

Fine-Tune and Evaluate LLMs in 2024 with Amazon SageMaker

Read Original

This article provides a step-by-step tutorial for customizing open-source LLMs like Llama 2 and Mistral for specific applications. It covers setting up the development environment on Amazon SageMaker, preparing datasets, fine-tuning models using the `trl` library, and deploying and evaluating the results, specifically targeting GPU instances like g5.2xlarge.

0 comments
#Hugging Face #Model Evaluation #Amazon Sagemaker
Fine-Tune and Evaluate LLMs in 2024 with Amazon SageMaker

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