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

Рет қаралды 46,878

Ай бұрын

Harrison Chase, founder of LangChain, speaks at Sequoia Capital's AI Ascent about what's next for agents in AI and the evolution of using language model to interact with the external world. Harrison identifies three critical areas of development for the next generation of agents that would make them production-ready and more impactful in the real world: planning, user experience and memory.
#AI #AIAscent #Sequoia #Startup #Founder #entrepreneur

Пікірлер: 23

@samarbid13 Ай бұрын

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 Ай бұрын

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 KZbin comment. The results are already pretty incredible.

@aesuna2565 Ай бұрын

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

@aymn-.-3398 Ай бұрын

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

@FranAbenza Ай бұрын

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

@sillystuff6247 Ай бұрын

Thanks for these bite sized chunks of your conference.

@XShollaj Ай бұрын

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 Ай бұрын

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

@paveltarashkevich8387 Ай бұрын

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

@AdvantestInc Ай бұрын

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

@emreon3160 Ай бұрын

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

@FranAbenza Ай бұрын

what are the ergonomics of augmented reasoning?

@kevinamiri909 Ай бұрын

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

@FranAbenza Ай бұрын

@@kevinamiri909 what product? Langchain?

@Nifty-Stuff Ай бұрын

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 Ай бұрын

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

@user-cr6uz2pb5m 18 күн бұрын

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

@PeterResponsible 18 күн бұрын

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.