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yo, what about persistent space - what setting you need to click so db will be retained on reload

Autonomous agent swarms are fascinating! SmythOS also enables collaborative AI agents to solve complex problems effectively. Check it out! #AI #SmythOS #Innovation

4:39 BTCUSDT 26500 at the time. Should have bought it last year :(

'Best' is a point in Time. Both will evolve .... for me, I go with LangFlow because I am Python Bias.

Great tutorial, but would this bypass security settings like Cloudflare, Recaptchas and firewall tools out of the box?

Hello! If my app needs to get the pdf from the user (the user will upload the pdf in a web app). How can I define metadatas (to only query the llm with the pdf uploaded by that user? Thanks!

any contact info available?

He solves the problem with pinecone later in the video.

Will langflow remain free or open-source.

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 😂

Agent tinyZerg rush the Agent Terran Corpo GPU farm first. That way we can get those resources to build more tinyZergs! :D

nice vid. Just came across you thanks to RUclips search looking for Flowise. Glad to have found your channel and will watch the rest of your stuff on Flowise now. Subscribed.

Now I can see why Langflow is less popular than Flowise

Exciting demos! Can you link the Autogen notebook as well?

26:52 aint no way

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".

where can i host langchain server WITHOUT PAYING A CENT?

🎉 I love this kink of videos, very illustrative😊

from where can i get pdf you are using in the beginning

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!

Amazing content ... thank you so much for sharing!

Hi! can we get the autogen colab url?

Hello sir, when i am trying to install flowise i am getting grpc tools issue in windows anyone can plz help me

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.

Great presentation. Can you by any chance share the NanoGPT slides/diagram you walked through in the video?

📝 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. Made with Talkbud

bro lookup David Shapiro, on youtube, he is working on a team who is building agent swarms. he needs you

anyone who implemented these concepts? and who is communication between agents solved? what paradigm is used/tested?

do you know about David Shapiro HAAS ?

Interesting agent swarm concept. What qualities do these frameworks (langchain, autogen, others) need to have to implement this concept easily?

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.

Dude, the links are showing. And they're editable, at least the Excalidraw!!!

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.

Can someone please tell me what is that?

Bros been cooking

Great video, good to see you back. Is there a link to your Google docs notes/other notes in this presentation? Thanks again

Love this. Thanks for the inspiring stuff. Love the way your mind works.... pheromones... awesome.

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!

Thank you superb!

Awesome!

Can you please point me to a tutorial where we can input an image and use Hugging Face or Replicate to convert the input image to a text description of the image?

I did sign up but it says that some notebooks are missing and for those that are still there, I still need to request access manually from you.

Hello, I am wonderng About something, when WE se a csv agent, WE don't need to use embeding, Vector data base or a memory ? I am currenly confuse

how can we limit the Gpt model from answering unrelated to questions, i want to limit it only to my data. in flowise

🎯 Key Takeaways for quick navigation: 00:00 📌 Introduction and overview of Flowwise and LangFlow 00:45 🧩 Flowwise installation and setup 03:02 🐍 LangFlow installation and setup (Render) 08:22 🌐 Overview of LangFlow and React Flow 09:29 ☁️ Other deployment options and Gina AI Cloud 12:05 🗒️ Comparison of Flowwise and LangFlow interfaces and features 16:25 🧩 Deep dive into the tiles and component differences in LangFlow and Flowwise 19:39 📚 Comparison of document loaders and embeddings in LangFlow and Flowwise 21:12 🧠 Comparison of memory components in LangFlow and Flowwise 22:12 🧠 Comparison of Tiles and Code Features in LangFlow and Flowwise 25:52 🧩 Comparison of Tools and Vector Stores in LangFlow and Flowwise 26:58 📚 Overview of LangFlow Interface, Exporting, and Code Generation Features Made with HARPA AI

Can you do a video on how to setup the render storage/disk so that the project saves a doesn't disappear?

This was really helpful. Thanks. Other videos gloss over the GitHub details.