Remove AI Architect Remove Large Language Models Remove Metadata
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Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

AWS Machine Learning Blog

For example: The state-of-the-art (SOTA) of models, architectures, and best practices are constantly changing. This means companies need loose coupling between app clients (model consumers) and model inference endpoints, which ensures easy switch among large language model (LLM), vision, or multi-modal endpoints if needed.

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Learn how to build and deploy tool-using LLM agents using AWS SageMaker JumpStart Foundation Models

AWS Machine Learning Blog

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. You have access to the following tools.

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