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

Sequoia Capital
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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

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28 мар 2024

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Комментарии : 23   
@tarundevnandan2327
When I see Andrew NG in the thumbnail, I instantly click on it, I at the moment is kind of a fanboy of him
@XShollaj
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
@paveltarashkevich8387
First slide pic is taken from Lilian Weng great blogpost, should be referenced
@Nifty-Stuff
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?
@AdvantestInc
Balancing autonomy and human intervention in AI agents is crucial. How will this shape future UX designs?
@emreon3160
Glad there is progress and this is shared, at the expense of Gemini getting smarter from youtube content.
@FranAbenza
what are the ergonomics of augmented reasoning?
@FranAbenza
Building a state machine of thought is so valuable.
@louiepecan
First📠💯
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