Explore AutoGen, a Microsoft library for creating LLM applications with AI agents, in this Python tutorial focused on cryptocurrency analysis. Learn how to build powerful agents that communicate and solve complex tasks. Start with an introduction to AutoGen and its benefits, then progress through a basic example of constructing a single agent for stock price trend analysis. Dive into an advanced demonstration using four agents to develop a cryptocurrency indicator, leveraging historical prices and news data. Set up Google Colab, create a simple agent for stock price analysis, and assemble an AI agent workforce for comprehensive cryptocurrency analysis. Gain practical insights into implementing AutoGen for financial data processing and decision-making tasks.
Build Powerful AI Agents with ChatGPT-GPT-4 - Python Tutorial for Cryptocurrency Analysis
Overview
Syllabus
- What is AutoGen?
- AutoGen Agents
- Google Colab Setup
- Simple Agent for Stock Price Analysis
- AI Agent Workforce for Cryptocurrency Analysis
- Conclusion
Taught by
Venelin Valkov
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Reviews
5.0 rating, based on 1 Class Central review
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Golam Mostofathe last chapter example actually i was looking for, which has scaling my mind thank you.
but more practical example could be brought like law related.
