GitHub / aws-samples / fine-tune-embedding-models-on-sagemaker

This repository contains samples for fine-tuning embedding models using Amazon SageMaker. Embedding models are useful for tasks such as semantic similarity, text clustering, and information retrieval. Fine-tuning these models on your specific domain data can greatly improve their performance.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws-samples%2Ffine-tune-embedding-models-on-sagemaker

Topics: aws, aws-blog, embedding-models, embeddings, generative-ai, sagemaker, sagemaker-endpoint, sagemaker-studio

• Files
• Readme
• Dependencies