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Use generative AI foundation models in VPC mode with no internet connectivity using Amazon SageMaker JumpStart

AWS Machine Learning

With recent advancements in generative AI , there are lot of discussions happening on how to use generative AI across different industries to solve specific business problems. Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music.

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Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain

AWS Machine Learning

One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. Amazon Lex provides the framework for building AI based chatbots. Solution overview We use the SageMaker docs as the knowledge corpus for this post.

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Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

Each token gets a predicted named entity tag. Because each text string can be tokenized into one or multiple tokens, we need to duplicate the ground truth named entity tag of the string to all the tokens that are associated to it. The notebook provided walks you through the steps to achieve this.

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A generative AI-powered solution on Amazon SageMaker to help Amazon EU Design and Construction

AWS Machine Learning

The team is looking for a generative AI question answering solution to quickly get information and proceed with their engineering design. The existing generative AI solutions for question answering are mainly based on Retrieval Augmented Generation (RAG). Return the model output to the user.