Amazon Bedrock Agents | Amazon Web Services

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  • เผยแพร่เมื่อ 16 ก.ย. 2024
  • 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.
    Learn more at: go.aws/3vC9RV8
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    #AWS #AmazonWebServices #CloudComputing #generativeai #generativeagents #promptengineering #taskorchestration #knowledgebases

ความคิดเห็น • 14

  • @renatodex
    @renatodex 11 วันที่ผ่านมา

    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

    • @awssupport
      @awssupport 11 วันที่ผ่านมา

      Hi, thanks for your observations. 👀 Perhaps you would like to share this info with the appropriate team: go.aws/feedback. This article details how. We definitely value info from our customers. ^DC

  • @AA-rd6nm
    @AA-rd6nm 6 หลายเดือนก่อน +1

    Awesome work.

  • @nickdemiceli4543
    @nickdemiceli4543 3 หลายเดือนก่อน

    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.

    • @awssupport
      @awssupport 3 หลายเดือนก่อน

      Great question, Nick. Our community of experts at re:Post may have technical insight to offer on this: go.aws/aws-repost. ✅💻 ^MO

  • @anishshrestha2378
    @anishshrestha2378 5 หลายเดือนก่อน

    Cane we do response stream in agents?

    • @awssupport
      @awssupport 5 หลายเดือนก่อน

      This is an excellent question for our re:Post platform! 📮 Our cloud community of experts may be able to assist you with an answer or additional advice: go.aws/aws-repost. 🤝☁️ ^TE

  • @canasdruid
    @canasdruid 6 หลายเดือนก่อน

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

    • @awssupport
      @awssupport 6 หลายเดือนก่อน +1

      Hi there! 👋 Our community of developers over at re:Post might be able to lend their expertise & guidance: go.aws/aws-repost. Additionally, we have these other ways to get help: go.aws/get-help. ⬅️ ^AK

    • @rishirajkalita9883
      @rishirajkalita9883 5 หลายเดือนก่อน +1

      Fine tune or knowledge bases

    • @canasdruid
      @canasdruid 5 หลายเดือนก่อน

      @@rishirajkalita9883i am currently doing that

    • @dozo_ca
      @dozo_ca 6 วันที่ผ่านมา

      Yeah I was thinking about that

    • @jeffdeng1652
      @jeffdeng1652 5 วันที่ผ่านมา

      @@dozo_ca just point the knowledge base at the company docs as a datasource and describe the data in the docs during setup and the agent will figure out when to use the data inside.