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Autonomous AI Agent Swarms | COMPLETE Tutorial
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- เผยแพร่เมื่อ 10 พ.ย. 2023
- Dive into the world of autonomous agent swarms with our comprehensive Autonomous Agent Swarms Totorial!
🌟 Whether you're a beginner or an AI enthusiast, this video will guide you through the fascinating process of creating and managing intelligent agent swarms using LangChain. Learn how to harness the power of collaborative AI agents for complex problem-solving and data processing.
We cover everything from basic setup to advanced strategies, ensuring you have the tools to innovate and excel in the field of generative AI. Get ready to unlock new potentials and transform your understanding of AI dynamics. Subscribe for more AI insights and hit the bell icon to stay updated! 🔔 #LangChainTutorial #autogen #AISwarms #TechInnovation
Code from video - colab.research...
CoALa - arxiv.org/abs/...
MemGPT - github.com/cpa...
TutorGPT - github.com/pla...
MetaGPT - github.com/gee...
python.langcha...
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![The moment we stopped understanding AI [AlexNet]](/img/n.gif)
bro lookup David Shapiro, on youtube, he is working on a team who is building agent swarms. he needs you
EXACTLY!
I searched hours to find someone like you deep dive based on a strong architecture design. Please keep it up with more contents. You are rare!
You’re talking to a bot
Check David Shapiro too.
Wes Roth
this video needs 4h part2 where you explain everything step by step like im 5 how to start tackling it. I think it would go viral.
Savant-
"We have all the fundamental things necessary in order to come up with self autonomous agents, so when you think of that, in my mind it comes up with something quite scary and really frightening (insert disturbingly cute catabot pic), and i think its going to be even Worse, its going to be even More Frightening!"
Next statement-
"Okay, so let's see how we can get that done.."
lol Yes! No matter the outcome, even admittedly frightening, we go head first into the future. Love it!
Just thought that rationale was hilarious 😂
do you know about David Shapiro HAAS ?
Agent tinyZerg rush the Agent Terran Corpo GPU farm first. That way we can get those resources to build more tinyZergs! :D
Absolutely Amazing Content!! Thank you so much for this approach and breakdown! People like you are what provides us all in progress!!!💯
Great Video. Can you please provide the Agent Swarm Autogen Colab with the group chat shown in the video? Thank you!
🎉 I love this kink of videos, very illustrative😊
Very cool video popped up number 1 in my recommended, over here making gpts like 😮 🤯 this somewhat reminds me of the learning algorithm game "the bibites" , with their pheromones and various signals they develop.
Love this. Thanks for the inspiring stuff. Love the way your mind works.... pheromones... awesome.
Amazing content ... thank you so much for sharing!
I stopped agent gratitude loops by adding "who does not give compliments or thanks" in each agent's system message. For example, "an expert python coder who does not give compliments or thanks".
Exciting demos! Can you link the Autogen notebook as well?
Great video, good to see you back. Is there a link to your Google docs notes/other notes in this presentation? Thanks again
anyone who implemented these concepts? and who is communication between agents solved? what paradigm is used/tested?
📝 Summary of Key Points:
📌 OpenAI has released GPT-4 Turbo and the Assistance API, providing updates on self-autonomous AI agents.
🧐 Princeton University has developed a cognitive architecture called Koala, which adds reasoning abilities and memory to AI agents.
🚀 Different memory modules, such as procedural, semantic, and episodic memory, work together to enhance the cognitive abilities of AI agents.
🚀 Stigmergy is a communication mechanism used by agents to leave digital markers and respond to informational traces.
🚀 The Lang Chain framework allows for the implementation of these concepts, showcasing examples of agent swarms, research swarms, and group chats.
🚀 AI agents have the flexibility and potential to perform various tasks and collaborate with each other.
💡 Additional Insights and Observations:
💬 "We're seeing a lot of exciting developments in the field of self-autonomous AI agents and swarm intelligence."
📊 No specific data or statistics were mentioned in the video.
🌐 References to OpenAI and Princeton University lend credibility to the information presented.
📣 Concluding Remarks:
The video discusses the latest updates from OpenAI, including the release of GPT-4 Turbo and the Assistance API. It also explores the cognitive architecture called Koala developed by Princeton University, which enhances AI agents' reasoning abilities and memory. The video highlights the importance of different memory modules and the concept of stigmergy in improving AI agents' cognitive abilities. The Lang Chain framework is showcased as a tool for implementing these concepts, demonstrating the potential of AI agents to perform various tasks and collaborate effectively.
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Great presentation. Can you by any chance share the NanoGPT slides/diagram you walked through in the video?
Thank you superb!
Interesting agent swarm concept. What qualities do these frameworks (langchain, autogen, others) need to have to implement this concept easily?
Bros been cooking
from where can i get pdf you are using in the beginning
Awesome!
Hi! can we get the autogen colab url?
Can someone please tell me what is that?
26:52 aint no way
Dude, the links are showing. And they're editable, at least the Excalidraw!!!
this is cool but in a year i feel like one could just do all of that and then you would have them compare and then return the output.