Amazon Bedrock Agents | Amazon Web Services

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With Amazon Bedrock Agents, you can easily build and scale generative AI applications with security, privacy, and responsible AI.

This demo shows you how to use Amazon Bedrock Agents to configure specialized generative agents that seamlessly execute multi step tasks based on natural language input and your organization's data & policies. These managed agents play conductor, orchestrating interactions between FMs, API integrations, user conversations, and knowledge bases loaded with your data. As a developer, you can use the new trace capability to follow the chain of thought (CoT) reasoning that’s used as the plan is carried out. You can view the intermediate steps in the orchestration process and use this information to troubleshoot issues.

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#AWS #AmazonWebServices #CloudComputing #generativeai #generativeagents #promptengineering #taskorchestration #knowledgebases
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Omg is the API slow like that? The response in your test application took like 40 seconds to complete!
Can't believe anyone noticed that haha

renatodex
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Can we integrate it on discord or slack etc?

michaelinzo
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Is it possible to leverage the knowledge base of my agent in Amazon bedrock, kind of as a guide for how the agent should respond. For example, I have a very specific use case and I only have around 30 examples of how it should respond, so I believe fine tuning would not work, but i am curious if I put 30 examples into the knowledge base, would it guide the agent better.

nickdemiceli
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how can i train this model with company pdfs or excels?

canasdruid