WE ALL NEED TO SEND HIM THANK YOU CARD     See Less

Whats the name of the song?     See Less

What a great introductory video🤗     See Less

🎯 Key Takeaways for quick navigation:

00:54 🧑‍💼 Microsoft's new multi-agent framework called Autog     See More ces user proxy agents and group chat managers, allowing for easier user feedback and collaboration among multiple agents.
01:08 🧑‍💻 User proxy agents enable users to define human feedback points, giving them more control over the output of the agent.
01:37 🔄 Group chat managers facilitate collaboration among multiple agents, allowing for diverse perspectives and the involvement of more than two agents in a conversation.
03:01 🔧 The Autogen framework can be installed and used in Python by creating agent files and triggering conversations through user proxy agents.
03:44 ⚙️ Autogen agents can receive and iterate on user feedback, resulting in improved output and user experience.
04:26 🤖 Autogen's group chat manager can be used to create complex multi-agent applications, such as content production pipelines or business consulting scenarios.
05:09 🗣️ Autogen's group chat manager enables coordination and collaboration among multiple agents, such as coders, product managers, and user proxies.
06:19 🌐 Autogen can be used in conjunction with other libraries, such as launching and scraping libraries, to create more advanced use cases like content generation pipelines.
07:30 🌐 Autogen can summarize large chunks of content into smaller ones by utilizing language models like GPT-3 and libraries such as Lanchain.
07:44 📚 Autogen allows for the creation of agent functions using function calling, providing flexibility in performing tasks like searching and scraping.
08:27 🤖 Autogen's user proxy agent can define human feedback points, enabling user input at specific stages of the agent's process.
09:09 🌐 Autogen can trigger conversations between user proxy agents and other agents, facilitating seamless collaboration and information exchange.
09:22 💻 Autogen can generate research reports and collect references, allowing users to access detailed information on a specific topic.
10:20 📝 Autogen can be used to create a content generation pipeline, involving multiple agents such as editors, writers, and reviewers in the creation process.
11:46 👥 Autogen's group chat manager enables communication and coordination among different agents, facilitating the generation of well-written and reviewed content.
12:13 👩‍💻 Autogen's flexibility allows for the customization of workflows in various use cases, such as lead generation and research-based campaigns.

Made with HARPA AI    See Less

Hi Jason, you produced a series of helpful videos for introducing AutoGen for different purposes. I am wondering whether you can have a video for using Gradio or other libraries to produce U     See More e for AutoGen, so we can share the work with those who do not have hard-coding skills. Thanks.    See Less

Your tutorial is simple but informative. Thanks for the wonderful tutorial !     See Less

I have watched many ai videos and still trying to figure out if none can work without openai key?     See Less

🎯 Key Takeaways for quick navigation:

00:00 🤖 Introduction to multitasking frameworks
- Challenges in providing feed     See More ents and limitations in the number of agents in a conversation
- Introduction of Autogen as a multi-agent framework that addresses these challenges with user proxy agents and group chat manager.
01:22 🛡️ User proxy agent and human feedback points
- User proxy agent acts as an intermediary between users and other assistant agents.
- Allows users to provide feedback during the process, enabling greater control and iteration.
03:01 💼 Group chat manager for collaboration
- Group chat manager facilitates coordination between multiple agents in a conversation.
- Enables the introduction of additional agents to provide different perspectives and expertise.
03:44 💻 Example: Simulating a conversation between an assistant and user proxy agent
- Demonstration of a basic use case where user proxy agent interacts with the assistant to generate stock price charts.
- User feedback and iteration to enhance the generated output.
04:26 📋 Demonstrating a coding agent with group chat
- Creation of a coding agent involving a user proxy agent, coder, and product manager.
- Coordinated conversation and iteration for building a Python game.
05:51 📊 Use case: Content generation pipeline with multiple group chats
- Illustration of a content generation pipeline using Autogen's group chat functionality.
- Separate group chats for research and content writing tasks.
06:47 🔍 Creating a research function with function calling in Autogen
- Demonstrating the creation of a research function using the SerpAPI and BeautifulSoup libraries.
- Exploring the use of function calling within Autogen to chain different functions together, such as search and scraping.
08:13 🤖 Defining an agent with function calling and setting up human feedback points
- Defining a legendary model config for a researcher agent with different functions, inputs, and descriptions.
- Creating a user proxy agent to provide human feedback points based on specific keywords, such as "terminate."
09:37 📊 Triggering a conversation and retrieving research reports
- Initiating a conversation between the user proxy agent and researcher agent to retrieve research reports.
- Demonstrating the retrieval of the final research report using a specific message sent to the researcher.
10:20 💼 Creating a content generation function with group chat
- Creating a content generation function involving multiple agents, including an editor, writer, and reviewer.
- Setting up a group chat for these agents to collaborate and iterate on the content creation process.
11:46 📝 Triggering a conversation for content generation
- Triggering a conversation between the user proxy agent and content assistant to generate blog content.
- Showcasing the workflow involving the research function, content writing, and feedback iteration using various agents.
12:27 💡 Exploring other use cases and possibilities with Autogen
- Discussing the flexibility of Autogen in creating different use cases like lead generation and marketing campaigns.
- Encouraging further exploration of Autogen's capabilities and its potential applications in various scenarios.

Made with HARPA AI    See Less

What a great video! I would have loved to subscribe to your channel but then realized I'm already subscribed LOL!     See Less

I wish you also talk about the costs involved with using these and the costs for your own developments for each video in terms of LLMs & APIs usage.     See Less