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.
aws embeddings embedding-models sagemaker aws-blog sagemaker-endpoint sagemaker-studio generative-ai
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Updated
Jul 12, 2024 - Jupyter Notebook