What's next for AI agents ft. LangChain's Harrison Chase

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  • เผยแพร่เมื่อ 3 ธ.ค. 2024

ความคิดเห็น • 26

  • @samarbid13
    @samarbid13 8 หลายเดือนก่อน +19

    4:02 Talking UX, as an X VFX artist, think extracting Blender's node-based engine or litegraph, but for LangChain. Transforming AI's UX into a visual symphony of nodes. it will be a revolution in AI interaction!
    This will give both visualization capabilities and much more flexibility to chain nodes and play with them.
    The current presentation is suggesting the AfterEffect way of solving the problem and it will be limited. VFX industry solved this long time ago with Node based editors and we should bring this in the AI world!

    • @Ranovin
      @Ranovin 8 หลายเดือนก่อน +2

      You’ll be happy to find out that I have been working on an open source implementation of this exact idea for over a year now!
      Still trying to get the word out.
      Hard to explain in a TH-cam comment.
      The results are already pretty incredible.

    • @aesuna2565
      @aesuna2565 8 หลายเดือนก่อน

      depends on the use case. VFX uses that because they are pro users. not all users will need something that deep

    • @aymn-.-3398
      @aymn-.-3398 8 หลายเดือนก่อน +1

      @@Ranovin Sounds interesting, can you elaborate a bit? I'd love to learn more about what you are working on and maybe contribute.

    • @DanielGarcia-qx4yd
      @DanielGarcia-qx4yd 4 หลายเดือนก่อน

      a good implementation example of this idea is what the people behind comfyUI did with their nodegraph based approach to AI image generation

  • @FranAbenza
    @FranAbenza 8 หลายเดือนก่อน +7

    Building a state machine of thought is so valuable.
    Flow engeneering can take you far. Waiting to see a flow that actually fine tune the model on the go as part of the. long term task

  • @jameehuang
    @jameehuang 3 หลายเดือนก่อน

    I thought this conversation about AI agents in the future was fantastic. Harrison Chase offers insightful commentary about LangChain. I'm excited about the smooth AI collaboration that systems like SmythOS can facilitate.

  • @paveltarashkevich8387
    @paveltarashkevich8387 8 หลายเดือนก่อน +5

    First slide pic is taken from Lilian Weng great blogpost, should be referenced

  • @AdvantestInc
    @AdvantestInc 7 หลายเดือนก่อน +1

    Balancing autonomy and human intervention in AI agents is crucial. How will this shape future UX designs?

  • @Sandheip
    @Sandheip 3 หลายเดือนก่อน

    Great insights on the future of AI agents with Harrison Chase. For advanced AI solutions, explore what SmythOS has to offer. #SmythOS #AIAgents #FutureOfAI

  • @emreon3160
    @emreon3160 8 หลายเดือนก่อน +2

    Glad there is progress and this is shared, at the expense of Gemini getting smarter from youtube content.

  • @XShollaj
    @XShollaj 8 หลายเดือนก่อน +5

    Harrison is an amazing CEO - He is always on reddit/twitter and any platform engaging in real time with all developers and always looking for ways to improve. I definitely think LangChain currently is bloated and inefficient at times, but I like the direction and rooting for LangChain

    • @asatorftw
      @asatorftw 8 หลายเดือนก่อน

      100% agree. He is really active and engaged. Definitely rooting for the Langchain Teams success.

  • @FranAbenza
    @FranAbenza 8 หลายเดือนก่อน

    what are the ergonomics of augmented reasoning?

    • @kevinamiri909
      @kevinamiri909 8 หลายเดือนก่อน

      It is a buzzword, for promoting a product that has no value.

    • @FranAbenza
      @FranAbenza 8 หลายเดือนก่อน

      @@kevinamiri909 what product? Langchain?

  • @Nifty-Stuff
    @Nifty-Stuff 7 หลายเดือนก่อน +1

    Could multiple LLMs be setup as Agents? Why hasn't anybody developed a system/app that takes the API's from the top LLMs, created agents for each, and then have these agents all work together to brainstorm, debate, review, and solve problems? I often get 4 different answers from 4 LLMs, so why not have them all setup as agents "in one room" working together to come up with the "best" solution. I can't find anybody that's tried this... why not? Wouldn't having the "top minds" (LLMs) working together produce better results?

    • @therealrichot
      @therealrichot 7 หลายเดือนก่อน +1

      See AutoGen and CrewAI. Those may be close to what you’re envisioning.

    • @DjamelKramcha
      @DjamelKramcha 7 หลายเดือนก่อน +2

      There is. I am basically working like that for a year now. It will be just way more efficient with agents.

    • @PeterResponsible
      @PeterResponsible 7 หลายเดือนก่อน +1

      this is a common thing, many Open Source products leverage a similar approach. You often see calling one LLM for task A and another for task B. You can actually see this just in the Chat GPT interface - you use the smart model to chat with but it's a dumber and faster model that comes up with the appropriate name for your chat after the first question and response are returned.

    • @困困鲨鱼头
      @困困鲨鱼头 6 หลายเดือนก่อน

      currently working on coze, should definitely check that out

  • @tarundevnandan2327
    @tarundevnandan2327 8 หลายเดือนก่อน +18

    When I see Andrew NG in the thumbnail, I instantly click on it, I at the moment is kind of a fanboy of him

    • @Kevin_Knights
      @Kevin_Knights 8 หลายเดือนก่อน +2

      We all are! Specially if you got started in the AI/ML field thanks to his Coursera courses.

    • @VR_Wizard
      @VR_Wizard 8 หลายเดือนก่อน +2

      Same here. We should make a group chat a kind of fanboy group sharing resources. If you interested let me now and I reach out to you.

    • @mailuser41
      @mailuser41 7 หลายเดือนก่อน

      @@VR_Wizard please add me in

  • @blankphrank
    @blankphrank 8 หลายเดือนก่อน

    First📠💯