AutoGen Tutorial 🤖 Create Collaborating AI Agent teams
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- เผยแพร่เมื่อ 29 ต.ค. 2023
- You can now use AutoGen to create multiple AI agents to work together to complete a task that you defined. Let's take a look at what Autogen is, and then I will show you how to quickly start using it.
In this video, we will go through the examples of task solving with code generation, execution and debugging and setting up a group chat of more than two agents.
Let us know in the comments if you'd like to see more advanced tutorials on AutoGen.
AutoGen announcement blog post: www.microsoft.com/en-us/resea...
AutoGen GitHub repo: github.com/microsoft/autogen
AutoGen examples: microsoft.github.io/autogen/d...
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Came here for Misra! Stayed and learned Auto-gen!
This video is perfect - exactly what I needed. Nice pace too.
It's used more for local work, but the detailed description of the code must be encouraged, looking forward to continue to update!
Nice overview! Thanks for sharing. Very clear.
Thanks for watching!
Thank you for this. I would love to see more complex examples of agent interactions. Could they have a debate of any current issues? Can they do a java Spring project? Could they act as a ful team of developers, testers, UI designers, etc?
really nice! we want more advance topic
Thanks for explaining the code slowly. Many videos rush through it. I'd like to see how this works on a local setup, not just Colab. I think most people will use Autogen locally in real life.
I'm keen to learn more about that
Such a great and easy tutorial! thanks!
Hi, Great job like always! I would love more advanced examples also. One idea might be to have a set of input information on a topic come in from text, video, slides, etc. and have a group manager sort and assign tasks to agents to assess each with a different skills and to then summarize all of the various content to put a full story together based on the various inputs provided. I could see that being useful in a number of domains. Let me know if you move forward with the next video, I'll be first in line to watch it!
Awesome! Thank you. In the words of agent Smith “more”.
wow, that is very impressive, thank you for sharing, have a great day :-)
thanks, please, tutorial more advanced! ;) thanks!
The link with autogen examples is dead, otherwise an awesome overview! Looking forward to watching a continuation.
Thank you for your insightful videos! I was wondering, is AutoGen also compatible with other LLM models?
Yes, I believe you can use it with any open-source or non-open-source LLM model.
thank you! can you provide a video on autollm please
nice presentation and well explained. as a new bee I want to know is it workable with gemini or any such like ? The other thing is that have you any video in detail for application of agents end to end project .? thanks
What would be the file extension OAI_CONFIG_LIST, could you tell me how to save that
I've seen a lot of Autogen videos, however I'm not sure how Autogen is better than Auto-GPT or any other AI agent framework?
Do I need to create different API-Keys for each agent? (If just using OpenAI and always the same model) -
No
🖐😊👍
How can we skip the OpenAI API key? I mean how can we make the whole setup free of cost(no money paid) on own local computer?
Can I ask the agents to read a document from my google drive and to create/save a new document with a feedback ? Do you how to give them the rights to do that in Colab?
Yes, you can.
@alpha7s708 I'll keep trying then. I haven't found the solution yet. 😕
Thanks.
Hello :)