fine-tune-embedding-models-on-sagemaker
PublicThis 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.
Creat：2024-06-26T17:48:21
Update：2025-03-03T08:22:26
https://aws.amazon.com/blogs/machine-learning/improve-rag-accuracy-with-fine-tuned-embedding-models-on-amazon-sagemaker/
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