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AWS Explains How to Build an Adaptive Agentic Intelligence Framework with Strands Agents

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AWS published a walkthrough for building an Adaptive Agentic Intelligence Framework with Strands Agents, combining local small language models for routine tasks with Amazon Bedrock models for complex analysis. The walkthrough also describes cloud-only and fully local configurations. Its IoT example uses llama3.2:1b to route requests, simulated device telemetry, and llama3.2-vision through Ollama for local image analysis. AWS also explains an MCP-based approach to sharing tools and integrating guardrails.

Generated by AI from reports · Updated 2 hours ago

Latest development10/22 05:23 (UTC+8)
Building an Adaptive Agentic Intelligence Framework with Strands AgentsAWS Machine Learning Blog

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10/22
  1. AWS Machine Learning Blog
    Building an Adaptive Agentic Intelligence Framework with Strands Agents

    AWS authors explain how to build the Adaptive Agentic Intelligence Framework with Strands Agents, using local SLMs for routine tasks and Amazon Bedrock for complex analysis. The IoT walkthrough uses llama3.2:1b to route requests, simulated device telemetry, and llama3.2-vision for local image analysis through Ollama. It also describes cloud-only and fully local configurations, an MCP-based approach to shared tools, and guardrail integration.

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