@@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
🎯 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
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.
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.
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
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
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.
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.
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.
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
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...
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
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.
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.
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
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.
Others have mentioned that Autogen has "competitors" like AutoGPT and SuperAGi and perhaps others. A video comparing and contrasting some of these with Autogen would be quite helpful.
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.
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 ?
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!
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 ✌️
Awesome job! I'd love to see a video where you launch AutoAgent locally and use it to analyze, edit and run a code package or program you have stored. (Locally or remotely, like a github repository.)
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.
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.
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💀💀💀💀💀💀💀💀💀💀💀
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 TH-cam, but if you're ever on Tiktok, i'm hard to miss. 💀🖤💀
Great video! Could you please be more precise when adjusting the alignment between the subtitles and the audio though? The subtitles are a bit late, so it's a bit confusing to watch. Also, I think subtitles are easier to read if they are longer (e.g. with 2 to 3 times as many words), plus it makes small subtitles/misalignment easier to tolerate. Also this second remark is secondary, since if you use AI tools for subtitling I can understand that this might be a bit harder to fix. (Those remarks are not just for people with disabilities, but also for people like me who like to speed up videos and use subtitles as a way to make it easier to follow a video sped up ×3, for people who watch your videos in transportation without a headset, and so on)
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.
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?
@@matthew_berman I have managed to get autogen working with Lm Studio and a 7b model from the bloke on my old CPU and a 1650 but the results aren't good and GPT-4 had a rate limit. I really want the local stuff to be able to test things before paying. I am having the most luck with llama-2-coder-7b.Q4_K_M.gguf from the bloke. If that helps anyone.
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..
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.
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
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.
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.
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.
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
just fyi if no one has told you - @19:33 and elsewhere - 💡arXiv (the Cornell repository of scientific papers) is pronounced as "archive" - the X represents the Greek letter chi 🤓
@@matthew_berman Also, great content homey 😸 how do we leverage AI to combine genetic manipulation, nanotechnology and human augmentation to attain optional immortality?
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
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.
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.
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?
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 "
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?
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.
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!
So, this is sort of like AutoGPT except that you create agents more directly to collaborate on a project rather than goal-sets for the entire project overall?
This is mind blowing, how can I use autogen to interact between meta and my Realestate website . How do I use autogen for lead generation. I am just trying see what sort of use case and how autogen can be used in a real estate business to pull data’s of people online looking to sell or in foreclosure . Thanks
Should I make a video explaining how to get local LLMs working with AutoGen?
Yes
yep :)
yes
That would be great, especially with the lightweight Mistral 7B model.
@@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
I watched this tutorial 2 times to digest as much as possible. This is mindblown.
🎯 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
thank you
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.
I’m working on figuring it out right now. I see an open PR on GitHub that addresses this feature.
Thanks!
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.
Much appreciated!!
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
Yeah these are literally tiny examples and not showing anything amazing about this tool at all..
ai jason demonstrate them in real worl projects
try it yourself?
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
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.
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.
Indeed
100% CORRECT!!!!!!!!
Except that it doesn't work.
Honestly just automating the back and forth debugging was already a relief
I have an diffr3nt opinion, hard.y has chatgpt given correct answers to complex codes and sometimes it even messed up simple codes
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.
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
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...
@@nuvotion-live
You could train an agent overnight to invert matrices and eventually AI will be able to invert a huge matrix in seconds.
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
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.
how do you envisage a node-base system being more valuable than a chat?
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!
Wow. Have been waiting for this video for a long time (A few hours). Thank you Matt for the incredible video.
Long time = few hours in AI world 😂
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.
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
You're very good at explaining complicated topics Matt. 👍
Glad you think so!
Nobody could have explained it better, thank you so much
Great tutorial! Creating business AI agents has never been easier. AI agents are simplifying tasks and driving creation.
You know he's the best guy when he turns off his dark reader mode 🙏🏻. Great explanation and content Matt. Keep it up🔥🚀
The sacrifices I make 🫡
you are awesome, been struggling at this level, game changer
glad it helped!
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.
Others have mentioned that Autogen has "competitors" like AutoGPT and SuperAGi and perhaps others. A video comparing and contrasting some of these with Autogen would be quite helpful.
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.
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 ?
Yes it’s possible but not natively yet. I can make another video explaining how?
That would be amazing !!
Yes please do that. Thanks! Have you used Pinokio?
@@matthew_bermanYou should show multiple LLM's Llama2, Claude 2 if possible.
Imagine asking an AI agent network to create an AI agent network that uses Llama 2. (or using a local version of some AI running on Ollama)
Glad to see you are in good spirits, stay brave, stay strong and get well soon! 🙏
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!
Huge Thank You!!!! Please keep posting more videos like this one!!!!
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
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 ✌️
Awesome job! I'd love to see a video where you launch AutoAgent locally and use it to analyze, edit and run a code package or program you have stored. (Locally or remotely, like a github repository.)
I’m working through setting it up with a local model right now
@17:37 "I am not actually sure how it analyzed the papers" is something that we as humans are going to get used to.
😂😂
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.
Glad you are covering autogen! Just started teaching myself
Thank you for sharing!!! This really is NEXT GEN capabilities!
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.
Mind = blown; this progress is insane!!
How amazing to see ai agents working together ❤
YES!! Llama II + AutoGen please.
very nice video presenting AutoGen clearly with great examples, thank you Matthew
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💀💀💀💀💀💀💀💀💀💀💀
Thank you very much. What the heck is the nightmare algorithm?
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 TH-cam, but if you're ever on Tiktok, i'm hard to miss.
💀🖤💀
That's that. It was nice being employable for a while.
Was waiting for this! Thank you!
You got it!
You definitely deserve a follow! Thank you !
Much appreciated
Great video! Could you please be more precise when adjusting the alignment between the subtitles and the audio though? The subtitles are a bit late, so it's a bit confusing to watch.
Also, I think subtitles are easier to read if they are longer (e.g. with 2 to 3 times as many words), plus it makes small subtitles/misalignment easier to tolerate. Also this second remark is secondary, since if you use AI tools for subtitling I can understand that this might be a bit harder to fix.
(Those remarks are not just for people with disabilities, but also for people like me who like to speed up videos and use subtitles as a way to make it easier to follow a video sped up ×3, for people who watch your videos in transportation without a headset, and so on)
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.
Mind blown! 😮
Please DO THIS for llama or Mistral AI - You are the man
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?
I am very excited about this AutoGen system too.
The first companies to get it to work will own the market.
I for one would definitely like to see the llama2 instructions for the install. 😅
This is mindblowing! Thanks for a great video!
I should add I love the video and Autogen looks good thanks. More Autogen please.
I’m working on a few autogen videos right now
@@matthew_berman I have managed to get autogen working with Lm Studio and a 7b model from the bloke on my old CPU and a 1650 but the results aren't good and GPT-4 had a rate limit. I really want the local stuff to be able to test things before paying. I am having the most luck with llama-2-coder-7b.Q4_K_M.gguf from the bloke. If that helps anyone.
This is incredible. Thank you for sharing!
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..
WORK - Anyone that writes in this model reach out to create insane projects with me.
Very good cover of the topic, thanks! Why Matt has so few subscribers? Are we nerds so few in numbers?
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.
wonderful video, excited to find out more about the autogen
Amazing! Thank you for this introduction, Matthew. Can't wait to dig into this stuff. 🔥
definitely drop that LLM video
I wish you try this with Lama model, How much success can an opensource model achieve in this
Yes do Lama 2
Wow this is next level! Please do a follow up vid for Llama 2
Will do
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.
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
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.
Noted, thank you.
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.
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.
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
Really great delivery! And super fun and clear. BTW “arXiv” is pronounced “archive” - the X is actually the Greek letter “χ” (“chi”) 🙂
I understand little to nothing and yet I watch, it’s still interesting
just fyi if no one has told you - @19:33 and elsewhere - 💡arXiv (the Cornell repository of scientific papers) is pronounced as "archive" - the X represents the Greek letter chi 🤓
Yes but thank you
@@matthew_berman Also, great content homey 😸 how do we leverage AI to combine genetic manipulation, nanotechnology and human augmentation to attain optional immortality?
Dwight: “I’m the assistant user proxy!”
Jim: “assistant *to* the user proxy”
Essentially, AI could make you money on the stock market... lol what a time to be alive...
Search: AutoGen tutorial
TH-cam: AutoGen Tutorial. Uploaded 7 minutes ago.
Me: Noiiceee 😂
Does AutoGPT and SuperAgi, SuperAgend not doing the same??
Great video. Love how you simplify the concepts. Would by great to see how we use llama
btw, my mind blown in first 60 seconds
Awesome :)
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
Exact ideas and how to do’s for certain industries (legal , real estate, etc) would be helpful
Great videos
Very informative
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
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.
Love it
Yes make more videos homie
On it!
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
Definitely make a video using this with llama2.
Great content, mind blowing tech. TYVM!!!
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.
Yes please 😂 show how to build this on local llama2 with gpu that would be awesome!
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?
Hmm...good question. You'd probably have to spin up a virtual environment for that.
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 "
Great tutorial!!❤
Yes, please make an example using llama2
Is there a API cost link to the usage of GPT4? If yes, is there a way to manage the cost usage?
Brilliant video. Thank you
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?
Can you create a video showing how to use Claude with this? Thanks for the video.
Yes, soon
AI Agent Orchestration Specialist - a new role is born
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.
@@clray123 ...so it is a scam? how do we know its just hype? and not the real deal?
@@MogulSuccess life experience
Just define it in the AUTOGEN config as a New agent-type and your good to go I guess.
Well done always!!
please show us how to use lama with this.
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!
I second this.
So, this is sort of like AutoGPT except that you create agents more directly to collaborate on a project rather than goal-sets for the entire project overall?
This is mind blowing, how can I use autogen to interact between meta and my Realestate website . How do I use autogen for lead generation. I am just trying see what sort of use case and how autogen can be used in a real estate business to pull data’s of people online looking to sell or in foreclosure . Thanks
This is game changing!
I am taking tomorrow off to play with this.
Worth it!