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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

However, when building generative AI applications, you can use an alternative solution that allows for the dynamic incorporation of external knowledge and allows you to control the information used for generation without the need to fine-tune your existing foundational model.

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Fine-tune and Deploy Mistral 7B with Amazon SageMaker JumpStart

AWS Machine Learning Blog

Today, we are excited to announce the capability to fine-tune the Mistral 7B model using Amazon SageMaker JumpStart. You can now fine-tune and deploy Mistral text generation models on SageMaker JumpStart using the Amazon SageMaker Studio UI with a few clicks or using the SageMaker Python SDK. license, for use without restrictions.