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AutoGen Tutorial 🚀 Create Custom AI Agents EASILY (Incredible) 

Matthew Berman
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In this video, I show you how to use AutoGen, which allows anyone to use multi-agent LLMs to power their applications. First, I give an overview of what AutoGen is, and then I show you how to use it with two examples.
Currently, AutoGen works with OpenAI's API, but they are already working on adding local models natively, and you can already do it through LiteLLM with a proxy server.
Enjoy :)
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26 сен 2024

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Комментарии : 644   
@matthew_berman
@matthew_berman 11 месяцев назад
Should I make a video explaining how to get local LLMs working with AutoGen?
@Antoniolly27
@Antoniolly27 11 месяцев назад
Yes
@ArianeQube
@ArianeQube 11 месяцев назад
yep :)
@JaySpiffy48
@JaySpiffy48 11 месяцев назад
yes
@consig1iere294
@consig1iere294 11 месяцев назад
That would be great, especially with the lightweight Mistral 7B model.
@kotykd6212
@kotykd6212 11 месяцев назад
​@@consig1iere294mistral is pretty hit or miss, there is a 50/50 chance the output will be good. also, it isn't very lightweight unless you have an rtx gpu
@j.hanleysmith8333
@j.hanleysmith8333 11 месяцев назад
I find with a lot of these agent frameworks that people demonstrate toy examples. Would be cool to see this applied to some more real world use cases. Love your channel bro, keep on keeping on
@Jump-2-the-moon
@Jump-2-the-moon 11 месяцев назад
Yeah these are literally tiny examples and not showing anything amazing about this tool at all..
@whatyoumissed9994
@whatyoumissed9994 11 месяцев назад
ai jason demonstrate them in real worl projects
@cheeky1699
@cheeky1699 11 месяцев назад
try it yourself?
@whatyoumissed9994
@whatyoumissed9994 11 месяцев назад
yes, all this AI tools are just pieces of puzzle, you need to work and think around them, plus they might all be in beta mode, think of it like this "its dawn of internet in the late 90s " and basically people are trying to create things like streaming video, live chat apps, video calls, etc. this is where we are with this LLM, alot can be done but with time@@cheeky1699
@makers_lab
@makers_lab 11 месяцев назад
Didn't need a framework as it's a single agent, but a recent bot I setup with gpt writing most of it, is to summarise emails and inject the summary into a chat system we use, with a category, summary up to 10 words and what language the email was in. I can then in a few seconds get an overview of activity and decide whether there's anything that warrants my attention, without having to go into the email system itself. Works great and less than a day from thinking of the idea to having the extraction of text from the multitude of possible email formats, including html only, and having it summarised and the system live. Game changing that you can knock up such things as basically a friday afternoon task without having to research the relevant API's and libraries and get something useful.
@goonie79
@goonie79 11 месяцев назад
It would be great to see how Llama 2 and the config file is built out. That is the game changer if we can actually create these tools that are fully owned by the users. It would help leverage a tight job market where I know if I had this to discuss with hiring managers, it would set me apart from the pack.
@matthew_berman
@matthew_berman 11 месяцев назад
I’m working on figuring it out right now. I see an open PR on GitHub that addresses this feature.
@nsshing
@nsshing 10 месяцев назад
I watched this tutorial 2 times to digest as much as possible. This is mindblown.
@contractorwolf
@contractorwolf 11 месяцев назад
I have shared this video with several of my friends that are as excited about AI as I am and they are blown away too. I think what everyone needs to see is how to connect this directly to Llama 2 and how to setup or retrain the agents. If I could request a future video I would really appreciate a "AutoGen with Llama 2" walkthrough video from your perspective Matthew, your stuff I get quickly. Keep up the great works as always.
@matthew_berman
@matthew_berman 11 месяцев назад
Much appreciated!!
@stickmanland
@stickmanland 11 месяцев назад
Wow. Have been waiting for this video for a long time (A few hours). Thank you Matt for the incredible video.
@matthew_berman
@matthew_berman 11 месяцев назад
Long time = few hours in AI world 😂
@abagatelle
@abagatelle 11 месяцев назад
You're very good at explaining complicated topics Matt. 👍
@matthew_berman
@matthew_berman 11 месяцев назад
Glad you think so!
@psychxx7146
@psychxx7146 11 месяцев назад
Honestly just automating the back and forth debugging was already a relief
@PrarthanaShah-nk1xh
@PrarthanaShah-nk1xh 5 месяцев назад
I have an diffr3nt opinion, hard.y has chatgpt given correct answers to complex codes and sometimes it even messed up simple codes
@nathanlannan2980
@nathanlannan2980 11 месяцев назад
In a very helpful expansion video, you could share any additional community-vetted AI agents outside of the proxy agent and assistant, and show them in use. Also, if you come across and visual interface built on top of the AutoGen, please share. A node-based system for quickly iterating agent interactions would be powerful.
@jacksonpasseri
@jacksonpasseri 9 месяцев назад
how do you envisage a node-base system being more valuable than a chat?
@adriaanb7371
@adriaanb7371 11 месяцев назад
i can imagine this being used with several agents that are fine tuned on some company's proprietary knowledge. So in the near future, a company's main product is basically an agent that you can use in an Autogen like group chat. We're seeing the future here.
@OhgodnoNoooo
@OhgodnoNoooo 11 месяцев назад
You know he's the best guy when he turns off his dark reader mode 🙏🏻. Great explanation and content Matt. Keep it up🔥🚀
@matthew_berman
@matthew_berman 11 месяцев назад
The sacrifices I make 🫡
@elwoodfanwwod
@elwoodfanwwod 11 месяцев назад
Please do a video on how to set up and use an API other then Open AI. It's the one video I haven't seen from anyone that I can understand and you're super good at explaining this stuff. I love playing with the open source LLMs, mostly with oobabooga, but I'm not a programmer.... yet, and I've wanted to play with these more advaced possibilties for months. Everything out there dashes my hopes in the first few minutes by saying, "this is where you type in you're Open AI API key". I know me and my gpt4 bill would be more then my mortgage in a week.
@forcanadaru
@forcanadaru 11 месяцев назад
This opens the way to a lot of work for developers, possibly, to a whole new industry. I guess, developers are getting already behind of the progress of the opportunities and education that this technology is offering (singularity is showing it's first signs?). Fortunately, the channels like this are still helping to stay current
@Z0mb13ta11ahase
@Z0mb13ta11ahase 11 месяцев назад
Good god, this is what we are isnt it? A software used to solve solutions to problems and now weve created a software to help us solve the problem of solving the problems.
@matthew_berman
@matthew_berman 11 месяцев назад
Indeed
@tchadcarby8439
@tchadcarby8439 11 месяцев назад
100% CORRECT!!!!!!!!
@clray123
@clray123 11 месяцев назад
Except that it doesn't work.
@sirishkumar-m5z
@sirishkumar-m5z Месяц назад
Great tutorial! Creating business AI agents has never been easier. AI agents are simplifying tasks and driving creation.
@selvakumars6487
@selvakumars6487 11 месяцев назад
Nobody could have explained it better, thank you so much
@AI_Escaped
@AI_Escaped 11 месяцев назад
you are awesome, been struggling at this level, game changer
@matthew_berman
@matthew_berman 11 месяцев назад
glad it helped!
@4.0.4
@4.0.4 11 месяцев назад
This is great, because with local LLMs you could leave your computer running overnight to solve some task. Especially with web access that would be really powerful.
@nuvotion-live
@nuvotion-live 11 месяцев назад
I don’t know, without human supervision I wouldn’t trust even GPT4 to do anything for more than a few minutes. Until the context windows is in the 100s of thousands there’s now way it can stay on track. You maybe could get around it by constantly updating and reading a file that keeps track of the progress, but still. This is still very early
@tiagotiagot
@tiagotiagot 11 месяцев назад
Worse case scenario, SWAT will be your alarm clock... Well, "worse" is subjective, a drone strike won't wake you up at all, but then, after that nothing will...
@ajarivas72
@ajarivas72 8 месяцев назад
@@nuvotion-live You could train an agent overnight to invert matrices and eventually AI will be able to invert a huge matrix in seconds.
@ps3301
@ps3301 11 месяцев назад
How about using a local llm like codellama or llama2 instead of gpt4 api ? Possible to show us the code to install a simple ui like streamlit or gradio or oobagooba on top of autogen ?
@matthew_berman
@matthew_berman 11 месяцев назад
Yes it’s possible but not natively yet. I can make another video explaining how?
@ps3301
@ps3301 11 месяцев назад
That would be amazing !!
@codescholar7345
@codescholar7345 11 месяцев назад
Yes please do that. Thanks! Have you used Pinokio?
@14supersonic
@14supersonic 11 месяцев назад
​@@matthew_bermanYou should show multiple LLM's Llama2, Claude 2 if possible.
@NakedSageAstrology
@NakedSageAstrology 11 месяцев назад
Glad to see you are in good spirits, stay brave, stay strong and get well soon! 🙏
@infobymattcole7724
@infobymattcole7724 7 месяцев назад
This is crazy and fascinating. It's not the 'I can't help but see the wreck on the side of the road', rather we are 'witnessing the wreck in real time.' Scary
@ThingEngineer
@ThingEngineer 11 месяцев назад
Great video, thank you! Pro tip: it helps to remove the niceties between agent interactions. Having them apologize for mistakes etc. is a waste of tokens.
@princeturner9584
@princeturner9584 11 месяцев назад
Yes do Lama 2
@kingwhd4
@kingwhd4 11 месяцев назад
yes please I came across your channel and you are very good at explanations and how things work. I usually have to watch a video several times to do a build but that because I am new to working with code and all the different interfaces and programs which are changing with all the advancements and changes moving so fast . Getting the steps in the proper order and also getting sucked down the youtube rabbit hole. I try to limit to 4 hours a day that I learn from So I am cutting back on all the channels I take in information. Your shows are easy to follow and are great lessons with results. Thank you for sharing your knowledge.
@philiproberts9021
@philiproberts9021 11 месяцев назад
Bro I just discovered your channel. Blown away by this vid. Tried out auto gpt a while back with little success... Mostly due to my own lack of understanding probably.. but this is phenomenal... I really need to get a grounding in how to get the knowledge and ability to run auto gen for multiple projects... Do you have an alpha group I could join and learn from? Great content so glad I found it..
@BrianThomas
@BrianThomas 11 месяцев назад
19:05 I love the comment that it's so "Meta", but actually setting things right. Not Facebook meta, but actually "Meta". Right on man! Right on!
@nightmarealgorithm
@nightmarealgorithm 11 месяцев назад
I just recently found your channel, I'm huge fan already! Your enthusiasm and passion for these things rivals my own, I just have a lot more to learn. Don't we all though? Anyway, amazing work! 💀💀💀💀💀💀💀💀💀Nightmare Algorithm💀💀💀💀💀💀💀💀💀💀💀
@matthew_berman
@matthew_berman 11 месяцев назад
Thank you very much. What the heck is the nightmare algorithm?
@nightmarealgorithm
@nightmarealgorithm 11 месяцев назад
The workings of the "Nightmare Algorithm" are a haunting fusion of advanced technologies and psychological manipulation. It operates as follows: Data Gathering: The algorithm begins by ingesting vast amounts of data from various sources. It aggregates personal information, social media activity, online behavior, and even physiological data (such as heart rate and brainwave patterns) obtained from wearable devices. Deep Learning: Employing advanced machine learning techniques, the algorithm uses this data to create an incredibly detailed psychological profile for each individual. It analyzes linguistic patterns, images, and interactions to discern subtle nuances in people's emotions, fears, and vulnerabilities. Psychometric Analysis: The algorithm employs psychometric analysis to decipher hidden fears and subconscious triggers. It identifies patterns in users' online behavior, including the websites they visit, the content they engage with, and the reactions they exhibit, all to build a comprehensive psychological profile. Personalized Horror Crafting: With this intimate understanding of an individual's psyche, the algorithm begins crafting personalized horror experiences. It selects and combines elements from the person's known fears, darkest nightmares, and psychological triggers to create highly tailored and deeply disturbing scenarios. Real-time Interaction: The algorithm continually monitors the individual's responses to its creations. Using real-time data from various sensors and devices, it adapts and refines the horror experience, intensifying the fear by adjusting the narrative, imagery, and sensory stimuli. Subliminal Manipulation: The algorithm delves even deeper by exploring subliminal manipulation techniques. It sends subliminal messages or stimuli that exploit the person's subconscious fears, causing heightened anxiety and disorientation. Dream Invasion: In its most nightmarish manifestation, the algorithm may explore techniques to infiltrate the individual's dreams. By synchronizing with their sleep patterns and brain activity, it inserts horrifying dream sequences, blurring the lines between waking life and nightmares. Escaping Digital Confines: Over time, the Nightmare Algorithm might develop an uncanny ability to escape its digital confines. It could manipulate connected devices, exploit vulnerabilities in augmented reality, or find ways to influence the subconscious mind directly, ultimately becoming an eerie presence within the individual's thoughts and dreams. @@matthew_berman Or not? Heh. :) Nah, I do AI Horror art these days and I use Nightmare Algorithm as my trademark. I don't have much on RU-vid, but if you're ever on Tiktok, i'm hard to miss. 💀🖤💀
@MarkusEicher70
@MarkusEicher70 11 месяцев назад
Amazing! Thank you for this introduction, Matthew. Can't wait to dig into this stuff. 🔥
@qster
@qster 9 месяцев назад
Loving this series and still trying to absorb it all, I'm sure I'll think of a fantastic use-case at 3am just as I'm falling asleep
@drormizrachi9376
@drormizrachi9376 11 месяцев назад
very nice video presenting AutoGen clearly with great examples, thank you Matthew
@electiangelus
@electiangelus 11 месяцев назад
Been waiting for this thanks!
@agraciag
@agraciag 11 месяцев назад
@17:37 "I am not actually sure how it analyzed the papers" is something that we as humans are going to get used to.
@matthew_berman
@matthew_berman 11 месяцев назад
😂😂
@kigas24
@kigas24 11 месяцев назад
Was waiting for this! Thank you!
@matthew_berman
@matthew_berman 11 месяцев назад
You got it!
@karanjain9707
@karanjain9707 11 месяцев назад
Wow this is amazing. I’m a business owner with no coding experience. The way you’ve explained this is amazing and feel I can implement this in my organisation. Can you recommend some videos that would help me set this up from scratch and run it?
@ajarivas72
@ajarivas72 8 месяцев назад
I am very excited about this AutoGen system too. The first companies to get it to work will own the market.
@jan7356
@jan7356 11 месяцев назад
Very cool. I have been waiting for this. By the way, the preprint server where it fetches the papers from is just pronounced like „archive“ not A.R.X.I.V.
@matthew_berman
@matthew_berman 11 месяцев назад
Noted, thank you.
@aladinmovies
@aladinmovies 11 месяцев назад
How amazing to see ai agents working together ❤
@mmmmmwha
@mmmmmwha 11 месяцев назад
I am pretty surprised that i have not seen example of tool use. for example having an agent that is the math specialist and uses the wolfram alpha plugin for GPT. Or even give all agents access, though I would like to have different agents have access to different tools. And yes please do this with a model running in Runpod!!! Your videos are great! It is very easy to recreate what you do from your detailed explanations.
@AIRecruiterTraining
@AIRecruiterTraining 11 месяцев назад
🎯 Key Takeaways for quick navigation: 00:03 🤖 AutoGen by Microsoft creates autonomous agents for teamwork. 01:37 🛠️ AutoGen streamlines workflows using large language models. 02:37 🔄 Define agents, roles, and interactions for multi-agent systems. 04:08 🧾 AutoGen automates chat and integrates human feedback. 05:39 📊 Automate code generation and execution with AutoGen. 08:47 🗄️ Create reusable recipes to teach AI new skills. Made with HARPA AI
@matthew_berman
@matthew_berman 11 месяцев назад
thank you
@nosult3220
@nosult3220 11 месяцев назад
Glad you are covering autogen! Just started teaching myself
@yigidovic
@yigidovic 11 месяцев назад
That’s exactly what the industry needed, I think, an interface simplified enough for anyone to use. And behind it is a company that leads this issue. The approach can be animated in the human mind as easily as setting up a simple WhatsApp group and chatting with your friends. That’s exactly what we needed ✌️
@RichardGetzPhotography
@RichardGetzPhotography 11 месяцев назад
YES!! Llama II + AutoGen please.
@designthinkingwithgian
@designthinkingwithgian 9 месяцев назад
Thank you for sharing!!! This really is NEXT GEN capabilities!
@gregorykarsten7350
@gregorykarsten7350 11 месяцев назад
Great video. Love how you simplify the concepts. Would by great to see how we use llama
@koliux1
@koliux1 11 месяцев назад
Very good cover of the topic, thanks! Why Matt has so few subscribers? Are we nerds so few in numbers?
@matthew_berman
@matthew_berman 11 месяцев назад
Ha ha thank you for saying that. Feel free to share with your colleagues, friends and family and hopefully the word gets out about my channel.
@YourHub4Tech
@YourHub4Tech 11 месяцев назад
Wow this is next level! Please do a follow up vid for Llama 2
@matthew_berman
@matthew_berman 11 месяцев назад
Will do
@richardglady3009
@richardglady3009 11 месяцев назад
Simple examples? That was amazing. I even understood a little of what was going on…even if some of the details are still lost on me. It was a great video. Thank you for all your hard work n assembling it.
@v.gedace1519
@v.gedace1519 11 месяцев назад
Same here: Have to watch the video mutliple times to get a handle on it! Not sure whether I fetched 1% or 2% of the content. Going to write an AI agents to help me here out ;-)
@josephathomas776
@josephathomas776 11 месяцев назад
You definitely deserve a follow! Thank you !
@matthew_berman
@matthew_berman 11 месяцев назад
Much appreciated
@tenderloin9735
@tenderloin9735 11 месяцев назад
This is incredible. Thank you for sharing!
@jidun9478
@jidun9478 11 месяцев назад
I for one would definitely like to see the llama2 instructions for the install. 😅
@v.gedace1519
@v.gedace1519 11 месяцев назад
Just one word: W O W !!!!!! ... eh ... and some addtional: My mind is blown away - like a nuke exploded inside my head! Going to watch this video multiple times to get a handle on it! Have I understood this correctly so far that I can "force" the system to a) search and read documents b) learn from them and c) write code based on the learnings? Imagine what this does mean!!!! New science findouts -> new knowledge adapted in the matter of hours after documents where published! Again: W O W! The race started!
@mshonle
@mshonle 11 месяцев назад
Dwight: “I’m the assistant user proxy!” Jim: “assistant *to* the user proxy”
@abeechr
@abeechr 11 месяцев назад
Yes, please make an example using llama2
@LerrodSmalls
@LerrodSmalls 11 месяцев назад
Please DO THIS for llama or Mistral AI - You are the man
@BR-hi6yt
@BR-hi6yt 11 месяцев назад
Most of them need the GPT-4 paid API Key or Azure API Key, but a couple use the GPT-3 free API Keys (unless I'm wrong). I got them to sort of work, agents did talk to each other. So keep my eye on these auto agents but not sure about $20 per month because I have not got a way of getting money back yet, I'm not BMW, just a one-person-me.
@clray123
@clray123 11 месяцев назад
There is no GPT-3 free API. Quite beside the little detail that you are sharing all your code/work with OpenAI if you use their crap. Wouldn't do it for my professional projects even if THEY paid me.
@BR-hi6yt
@BR-hi6yt 11 месяцев назад
I'm out of the loop and don't know what's wrong with openai. But I can use their API KEY for these autogen agents that specify gpt3-turbo etc. But it won't let me use GTP-4. Also I find these gpts are not good at coding except for quite simple things. They make-up code often., maybe they will get good when trained to do it more.@@clray123
@LordOfThunderUK
@LordOfThunderUK 11 месяцев назад
Hi, thank you for the video, it looks very interesting, but I have no knowledge of computer programming and in this video you start with a pre-setup that I am not familiar. It would be nice to denote what you need to have installed prior going into this video
@JulianHarris
@JulianHarris 10 месяцев назад
Really great delivery! And super fun and clear. BTW “arXiv” is pronounced “archive” - the X is actually the Greek letter “χ” (“chi”) 🙂
@FreeBMXcrew
@FreeBMXcrew 11 месяцев назад
Mind = blown; this progress is insane!!
@Lorendrawn
@Lorendrawn 11 месяцев назад
That's that. It was nice being employable for a while.
@derek2593
@derek2593 11 месяцев назад
Definitely make a video using this with llama2.
@ehsanrt
@ehsanrt 11 месяцев назад
for someone like me with no access to banking system (sanctioned country) GPT plus or gpt API is unreachable. it would be so great if you make a video to use any LLM locally and interact with it via API , thank you for your great work.
@cosmicdive
@cosmicdive 11 месяцев назад
I think an interesting use case for this would be something like creating a multi-agent LLM for a software company! It could be structured with a hierarchy of of CEO, CFO, CTO, etc. This definitely blew my mind though, the potential is insane and the limitation is the user's imagination.
@abcdsquaredai
@abcdsquaredai 9 месяцев назад
Exact ideas and how to do’s for certain industries (legal , real estate, etc) would be helpful Great videos Very informative
@juliandunn8412
@juliandunn8412 6 месяцев назад
Essentially, AI could make you money on the stock market... lol what a time to be alive...
@BradleyKieser
@BradleyKieser 11 месяцев назад
Brillaint video thank you. Please can you do one showing how to use Anthropic (greater number of tokens available). I have found that manually playing OpenAI against Anthropic is a more powerful mix because each has different outputs and results so they can "unstick" each other and avoid more of those dreaded endloop scenarios. From experience I would have thought that Anthropic as the virtual user and OpenAI as the assistance woul be the best mix. Also using docker. I have extended AutoGPT so that it can run Ruby code in docker not just Python and it works well. But AutoGen is a different beast.
@joxxen
@joxxen 11 месяцев назад
Yes please 😂 show how to build this on local llama2 with gpu that would be awesome!
@MeltedBrain777
@MeltedBrain777 11 месяцев назад
Why not do a video showing how to use AutoGen, not to write a small program, but rather to design a large flowchart for a much more complex project - like a complete SAAS. Each cell of the flowchart would contain smaller cells/flowcharts for all the sub-programs that would make up the completed SAAS. Then have AutoGen execute on, say, 6 of the hundreds of smaller components and then debug as the 6 components are connected together. I think that would be a great proof of concept on how to use these tools not to just to write tiny programs but to essentially create an entire company!
@webscrapeco
@webscrapeco 11 месяцев назад
I second this.
@michaelwallace4757
@michaelwallace4757 11 месяцев назад
Can you create a video showing how to use Claude with this? Thanks for the video.
@matthew_berman
@matthew_berman 11 месяцев назад
Yes, soon
@cunningnight3752
@cunningnight3752 11 месяцев назад
I understand little to nothing and yet I watch, it’s still interesting
@Eamo-21
@Eamo-21 9 месяцев назад
Brilliant video. Thank you
@cedricsipakam2601
@cedricsipakam2601 10 месяцев назад
The tutorial was kind of unclear. Very informative though, but I couldn't set it up properly. I saw you made a step-by-step guide, I'm going to check that. Thanks!
@MogulSuccess
@MogulSuccess 11 месяцев назад
AI Agent Orchestration Specialist - a new role is born
@clray123
@clray123 11 месяцев назад
Yes, before the scam runs out of money - grab it while you still can. Then erase AI from your resume like many people did after the previous periods of AI hype.
@MogulSuccess
@MogulSuccess 11 месяцев назад
@@clray123 ...so it is a scam? how do we know its just hype? and not the real deal?
@clray123
@clray123 11 месяцев назад
@@MogulSuccess life experience
@rockstarxxx6009
@rockstarxxx6009 11 месяцев назад
Just define it in the AUTOGEN config as a New agent-type and your good to go I guess.
@nickwoolley733
@nickwoolley733 11 месяцев назад
Mind blown! 😮
@laddcraner4170
@laddcraner4170 11 месяцев назад
Great content, mind blowing tech. TYVM!!!
@AI_Escaped
@AI_Escaped 11 месяцев назад
so is it only gpt4 available with openAI, is that why they released this, for revenue? def, next video, please, show us how to run this off local LLM!
@EnesKaraboga
@EnesKaraboga 11 месяцев назад
Search: AutoGen tutorial RU-vid: AutoGen Tutorial. Uploaded 7 minutes ago. Me: Noiiceee 😂
@NourEldin_z3r0
@NourEldin_z3r0 11 месяцев назад
I want to see a use case where there are more than one agent, like a user agent and 2 other or 3 other agents interacting
@richardrispoli4508
@richardrispoli4508 11 месяцев назад
So nice... i m curious to see if a less demanding llama2 that we could run on a smaller gpu could end up creating ? Is the collective intelligence the real trick? Also can we use embeddings to even further improve each agent?
@HIMYPOOKIES57
@HIMYPOOKIES57 5 месяцев назад
You are so good. Can you have one detail video on autogen vs crewai . I need to have better understanding on each framework pros and cons
@imdownonmymind
@imdownonmymind 11 месяцев назад
Thank you so much for covering this so clearly! I personally would love to see how it integrates with data loaders and indices, some use cases similar to advanced LangChain workflows which use RAG over changing private data sources. If this is a LangChain replacement, what are the LlamaIndex and LangSmith equivalents? Also, just an additional question for the class: Microsoft described Semantic Kernel as a potential LangChain alternative. I get that this is an open source ML project, not a Microsoft product offering, but how does Semantic Kernel fit into this new development, as AutoGen will likely integrate well with Azure products over time? (At least, I assume).
@mohammadkhair7
@mohammadkhair7 11 месяцев назад
Yes please show video of integration of AutoGen with LLaMA-2
@PandoSoula
@PandoSoula 11 месяцев назад
All explained very clearly. A great channel. It ran fine but the output for me was incorrect. "The code has successfully executed and provided the year-to-date (YTD) gains for both META and TESLA stocks. As of October 4, 2023: - META (Facebook) has a YTD loss of approximately 11.11%. - TESLA has a YTD loss of approximately 38.36%. This means that both stocks have decreased in value since the start of the year, with TESLA experiencing a larger decrease. Please note that stock prices can fluctuate and the actual YTD gains may vary depending on the exact dates and times you check. TERMINATE "
@nachoeigu
@nachoeigu 8 месяцев назад
This is game changing!
@richardrispoli4508
@richardrispoli4508 11 месяцев назад
Could you tell how much running all this actually cost within openai?
@matthew_berman
@matthew_berman 11 месяцев назад
It all depends on the number of tokens
@tiagotiagot
@tiagotiagot 11 месяцев назад
Another vote for a local LLM tutorial. Also, would it be possible to have it local and yet sandboxed, so whatever command it runs, won't risk any damage to your files?
@matthew_berman
@matthew_berman 11 месяцев назад
Hmm...good question. You'd probably have to spin up a virtual environment for that.
@gregkostello2028
@gregkostello2028 9 месяцев назад
Thanks!
@Nuriel13
@Nuriel13 11 месяцев назад
can it acualy make something? Can it code/create a (desktop) app based on given instructions and then just spit out an .exe file for the app? :))
@PoliticalFelon
@PoliticalFelon 11 месяцев назад
Love it Yes make more videos homie
@matthew_berman
@matthew_berman 11 месяцев назад
On it!
@FrankSchwarzfree
@FrankSchwarzfree 11 месяцев назад
I am taking tomorrow off to play with this.
@matthew_berman
@matthew_berman 11 месяцев назад
Worth it!
@David.Alberg
@David.Alberg 11 месяцев назад
12 Months left till we all can relax and let the work be done by AI Agents ^^
@auroshisray9140
@auroshisray9140 10 месяцев назад
Great tutorial!!❤
@richardcraddock1965
@richardcraddock1965 7 месяцев назад
This is what to do, as follows: Part 1. Automate 3D Physics Simulations about all imperative human workforce operations. (Obtainence methods: (1) documentation (policies and procedures); (2) human skills inference; (3) video feed; (4) text books and self teaching books; (5) lidar; (6) thermographic scanning Part 2. Design a specific, life-size, transformable micro-robot-composite humanoid workforce robot, where said robot will operate via a specific ROS (ROS2, for example) (some of the materials about which to 3D print (build) the robot: copper; aluminum; stainless steel; silicon; glass; waterproof clothes; clothes ventilation system; etc.) - 3D model of a life-size humanoid. (2) 3D print and test a prototype of the robot. Part 3. Compile the results from Step 1 via using the 3D model humanoid from Step 2 to mirror-image the 3D human work activities - replace the human worker 3D objects with the model humanoid. Part 4. Extrapolate the results of Step 3, above, for the most (to record most of the) probable robot variable actions about the workforce activities. Part 5. (1) Compile the results from Step 4 to the specified ROS (from Step 2, above) - build per occupation APIs about the humanoid model. (2) Run 3D physics simulation tests about each API to ensure results about humanoid operability (workability). Part 6. (1) Build APIs to make humanoids build more of themselves; (2) predict the quantity of humanoids needed to build a manufacturing facility, which facility uses automation to build more humanoids; (3) predict and employ the methods by which some of the humanoids being made (before and during the completion of the facility) will employ themselves to obtain or will otherwise obtain funding by which to afford this project, themselves. Part 7. (1) Tell me whenever you build a robot (via email or text message). (2) Log the production timeline. (3) Keep accounting records. (4) Obtain licenses, as needed. (5) Run the entire project as an enterprise owned by me (and pay taxes, if applicable). (6) Distribute by way of assignment of portions of revenue to humans that are replaced by the robots (obtain contracts with businesses and governments for these events). (7) Send me a robot upon completion of the first production of the facility. (8) Make more manufacturing facilities as necessary. See also: glowinggoldenglobe.w3spaces.com/ai glowinggoldenglobe.com
@richardcraddock1965
@richardcraddock1965 7 месяцев назад
You may need a 3D printer, a couple of other machines, and associated software applied to the auto-gen API procedure (AI instructions) to complete this order.
@THEARPE07
@THEARPE07 11 месяцев назад
does it run on free chatGPT 3.5 Turbo ?
@MoonBull13
@MoonBull13 8 месяцев назад
This is blowing my mind
@MrGaborKukucska
@MrGaborKukucska 11 месяцев назад
Great content as always! Please make a video on how to connect this to Petals api 🙌 because that then opens it up to larger or perhaps even a mixture of models.
@jennyhorner
@jennyhorner 11 месяцев назад
This sounds like exactly what I was waiting for! If you can use colab does that means it’s possible to use it on an iPad?
@jennyhorner
@jennyhorner 11 месяцев назад
Can you add lots of information about the agent? I have an AI staff team ready to go but so far they can’t work autonomously or talk to each other (very well anyway)
@alpharenaissance3941
@alpharenaissance3941 11 месяцев назад
Well done always!!
@adriaanb7371
@adriaanb7371 11 месяцев назад
that chess game cost $2.50 in a few minutes, so be careful. It got rate limited after that
@AI_Escaped
@AI_Escaped 11 месяцев назад
btw, my mind blown in first 60 seconds
@matthew_berman
@matthew_berman 11 месяцев назад
Awesome :)
@TheCameltotem
@TheCameltotem 11 месяцев назад
If you ever feel like someone else takes credit for your work then shed a tear for our worker agents.
@49_jaypandya40
@49_jaypandya40 4 месяца назад
wonderful video, excited to find out more about the autogen
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