AutoGen Tutorial: Creating Custom AI Agents Made Simple
Learn how to create custom AI agents easily with AutoGen Tutorial.
00:00:00 AutoGen is a framework by Microsoft that allows you to create and orchestrate multiple AI agents to work together, improving the output. It can be integrated into any project and is a drop-in replacement for open AI API.
🚀 Autogen is a project by Microsoft that allows you to create as many autonomous agents as you want and have them work together.
🔧 Autogen is a framework that offers customizable and conversible agents, simplifying the orchestration, optimization, and automation of llm workflows.
🤝 With Autogen, you can define specialized AI agents with different roles and behaviors, enabling them to work together in a multi-agent conversation system.
00:02:56 Learn how to create custom AI agents easily with AutoGen. The assistant agent can write and execute code, while the user proxy agent simulates user behavior. Automate tasks and get human feedback seamlessly.
💡 AutoGen allows for the creation of custom AI agents that can autonomously write and execute code.
🤖 AutoGen utilizes different types of agents, such as the user proxy agent and assistant agent, to automate the chat and code execution process.
🔧 The user proxy agent simulates user behavior and can run code itself, saving time and allowing for human feedback and intervention.
00:05:51 Learn how to create custom AI agents easily using AutoGen. Install the Pi AutoGen library, set the API endpoint, and configure the agents. Write code to perform tasks and communicate with the agents.
🚀 AutoGen is a tool that allows users to easily create custom AI agents.
💻 The tutorial demonstrates how to install the Pi AutoGen library and set up the API endpoint for the agents.
🔑 The user proxy agent and assistant agent communicate to complete tasks, with the assistant agent providing code suggestions and debugging.
00:08:45 Learn how to create custom AI agents easily and initiate a chat with an assistant to compare year-to-date gains for Meta and Tesla using Python code.
🚀 The user proxy mode allows code to be executed without asking for approval.
🔀 The Max consecutive auto reply setting determines the number of back and forth exchanges before the task terminates.
📅 The assistant initiates a dialogue with the user proxy to determine the current date and compare the year-to-date gain for Meta and Tesla.
00:11:41 Learn how to create custom AI agents easily with AutoGen Tutorial. Execute code, calculate gains, plot charts, and more. Incredible!
🔑 The assistant fixes a bug by correcting a variable issue and successfully executes the code.
💰 The assistant provides the year-to-date gains for two stocks, highlighting the potential increase in investment.
📊 The assistant guides the user in plotting a chart using the Matplotlib library in Python.
00:14:38 Learn how to use AutoGen to create custom AI agents easily without programming. This tutorial demonstrates teaching AI new skills via natural agent interactions.
🚀 This tutorial demonstrates how to use AutoGen to create custom AI agents without programming knowledge.
💡 AutoGen enables users to teach AI new skills through natural agent interactions.
📝 The tutorial shows an example task of finding research papers, categorizing application domains, and creating a bar chart.
00:17:32 Learn how to create custom AI agents easily using AutoGen Tutorial. Generate bar charts of application domains and papers using Python. Create a reusable recipe for future tasks.
🔑 The video demonstrates how to use AI agents to analyze and summarize research papers.
📊 The tutorial shows how to generate a bar chart of application domains and the number of papers in each domain using Python and Matplotlib.
🔧 A recipe is created to automate the process and provide reusable Python functions for fetching papers and generating bar charts.
Want to deep dive into this video?
