Harrison Chase - Agents Masterclass from LangChain Founder (LLM Bootcamp)

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--------------------------------------------------------------------------------------------- In this video, Harrison Chase, co-creator of LangChain, discusses "agents": tool-using language models with long-term memory.
Download the slides and read the talk summary here: fullstackdeeplearning.com/llm...
Watch the rest of the LLM Bootcamp videos here: • LLM Bootcamp - Spring ...
Outro music made with Riffusion: github.com/riffusion/riffusion
00:00 What are "agents"?
01:18 Why use agents?
04:12 ReAct: Reasoning to Act
07:50 Challenge: controlling tool use
11:07 Challenge: parsing tool invocations
12:54 Challenge: long-term memory and coherence
16:08 Challenge: evaluation
17:39 Agent memory and adaptability
19:29 Example: AutoGPT
20:22 Example: BabyAGI
21:08 Example: CAMEL
22:19 Example: "Generative Agents" paper

[@newcooldiscoveries5711]

Excellent!! Bring Harrison back for a two hour talk please.

[@richardglady3009]

Wonderful and informative lecture. Great introduction to agents and understandable to a non-expert (me). Thank you for making and posting this video.

[@oldmankatan7383]

You referenced several papers during the talk, but I didn't see any citations in the description. Please consider including these (at least the most important papers) in the future. It's really helpful for a lot of us! Great talk, thank you!

[@Andrei_Calazans]

Fantastic! Thank you for sharing!

[@answerai]

Excellent summary from Harrison. Thanks for upload!

[@snehotoshbanerjee1938]

Awesome talk!!. This is exactly I was looking for.

[@SanthoshKumar-dk8vs]

Thanks for sharing

[@ReddSpark]

Would have liked to have seen the Q&A session to this

[@eugeniocg3079]

yess

[@rohanagrawal5747]

this guy is genious

[@b8akaratn]

Agents ... Smith, i presume...

[@swyxTV]

go harrison!

[@MichaelScharf]

When was the talk given?

[@ILikeAI1]

Sounds like it was about 3 weeks ago by the papers he is referencing

[@The_Full_Stack]

April 22nd, 2023.