π Autogen is a project by Microsoft that allows you to create as many autonomous agents as you want and have them work together.
π§ Autogen is a framework that offers customizable and conversible agents, simplifying the orchestration, optimization, and automation of llm workflows.
π€ With Autogen, you can define specialized AI agents with different roles and behaviors, enabling them to work together in a multi-agent conversation system.
π‘ AutoGen allows for the creation of custom AI agents that can autonomously write and execute code.
π€ AutoGen utilizes different types of agents, such as the user proxy agent and assistant agent, to automate the chat and code execution process.
π§ The user proxy agent simulates user behavior and can run code itself, saving time and allowing for human feedback and intervention.
π AutoGen is a tool that allows users to easily create custom AI agents.
π» The tutorial demonstrates how to install the Pi AutoGen library and set up the API endpoint for the agents.
π The user proxy agent and assistant agent communicate to complete tasks, with the assistant agent providing code suggestions and debugging.
π The user proxy mode allows code to be executed without asking for approval.
π The Max consecutive auto reply setting determines the number of back and forth exchanges before the task terminates.
π 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.
π The assistant fixes a bug by correcting a variable issue and successfully executes the code.
π° The assistant provides the year-to-date gains for two stocks, highlighting the potential increase in investment.
π The assistant guides the user in plotting a chart using the Matplotlib library in Python.
π This tutorial demonstrates how to use AutoGen to create custom AI agents without programming knowledge.
π‘ AutoGen enables users to teach AI new skills through natural agent interactions.
π The tutorial shows an example task of finding research papers, categorizing application domains, and creating a bar chart.
π The video demonstrates how to use AI agents to analyze and summarize research papers.
π The tutorial shows how to generate a bar chart of application domains and the number of papers in each domain using Python and Matplotlib.
π§ A recipe is created to automate the process and provide reusable Python functions for fetching papers and generating bar charts.
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