AutoGen Advanced Tutorial - Build Incredible AI AGENT Teams

In this video, I break down every topic you need to know to become an AutoGen master. Some topics include caching, best practices, enhanced inference, multi-agent setup, LLM daisy-chaining, a brand-new agent type called Teachable Agent, function calling, templating, and so much more.

Enjoy :)

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Chapters:
0:00 - Intro
0:56 - LLM Config
6:47 - Config List
10:54 - Caching
13:31 - Enhanced Inference
19:36 - Templating
21:20 - RAG Agents
26:20 - NEW Teachable Agent
31:35 - Using Docker
32:57 - Function Calling
36:07 - Agent Tool Learning

[matthew_berman]

What topics do you want to see me do an even deeper dive into in my AutoGen expert tutorial?

[christopherwilms]

I’d love to see content showing numerous different agents working together in their unique roles

[MrBiscuit]

Well done! I really like that you are deep diving in to Autogen. Most of the other content creators re just scratching the surface. 🥇

[kigas]

Best tutorials on Youtube, thanks for all your work.

[JonathanPohlner]

I've been eagerly awaiting this. Excited to see what you've come up with.

[gregorykarsten]

Wowwow🎉 Huge potential! Definitely examples of function calling, teachable agent and reflect/learn, user feedback😀

[BunniesAI]

This is awesome!! I'm blown away by Autogen. So happy that you're doing all these videos on it. Let's create something usefull from start to finish (as an idea for a future expert video on Autogen) 😍

[BrianPotterProductions]

Killer killer KILLER content as always! Thanks!

[picklenickil]

I have watched this 5 times and still feel fascinated. Can't wait for expert level tutorial.

Please make it really through. We can handle complex!😊

[pink-doublethink]

Thank you for sharing such valuable information on Autogen and its advanced functionalities. I look forward to learning more from you in the future. Keep up the great work!

[unc_matteth]

i am going to be going through all your videos for autogen this weekend. i have a very specific use case that i want to automate a ton of creative work with this. took a while of manual work to get to the point i'm ready to automate the rest. I have watched each of these but still need to sit down and go through the motions. besides creative applications, there's a business use case then also that is kind of along the same lines, but will take a bit more tweaking. i'm going to try to plow through it, then might come discuss with you if i get stuck.

as far as more videos on this, i would love to see a full start to finish, setting it up with everything you've learned through your growing pains, in a comprehensive step by step manner. don't give us choices :) tell us which is the best model for use for each type of usage.

i bet a head to head, multi screen battle between the different models on different tasks with the exact same prompt would be a blast to watch. 4 or 6 models, sync the enter of the prompt for each and go! see what happens real time with all of them basically competing against each other.

[patman]

Thank you so much! I've been looking for instructions like this since AutoGen was released.

[renierdelacruz]

Great job Matt, will explained, you are the best.

[MetaphoricMinds]

How many seeds of innovation shall sprout from this newfound zenith of intellectual mastery? The intellectual possibilities are endless!

[j.hanleysmith]

This video is so needed by the community. You just accelerated the singularity by a few weeks at least.

[dolevmp]

Thanks for the video! When is the expert coming? I would love to learn how to control the conversation flow. Make sure some agents only talk with some agents or making the human talk only with a team lead.

[MrGaborKukucska]

Thanks for another Awesome video Matthew 🙌🏼👏

[frankismartinez]

Functions with open LLMs; so that we can decouple the OpenAI dependency. Then, functions + tools.

[yonathanadmasu]

Big fan of this channel. Great content. Would love to see these agents working together in practical small project

[FlyinEye]

These are great. I'm rewatching this again.