Philipp Schmid • 6/25/2024

Train and Deploy open Embedding Models on Amazon SageMaker

Read Original

This technical tutorial explains how to customize embedding models for domain-specific data to improve Retrieval-Augmented Generation (RAG) performance. It provides a step-by-step guide to fine-tuning a BAAI/bge model on a financial dataset and deploying it using the Hugging Face Embedding Container and Amazon SageMaker.

0 comments
#Rag #Hugging Face #Amazon Sagemaker
Train and Deploy open Embedding Models on 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