Smart Finance: Utilizing AI Agents for Real-Time Data & Market Trends

About

In this engaging session, we will explore the world of large language model (LLM) agents and sophisticated AI systems that extend the capabilities of standard language models to execute specific, complex tasks. We will demystify the core components that define LLM agents: the Agent Core, Memory Systems, Tools, and Planning Module, detailing how these elements integrate to enhance decision-making and task execution.

We will explore a range of practical applications of AI agents in finance, demonstrating how LLM agents can help you find and analyze financial data for you. For instance, If you want to see today's market trends and news affecting the stock market, you can just run your agent, and you will get the information immediately. 

The session's highlight will be a live demonstration, during which attendees will see an LLM agent. This demonstration will focus on a simulated scenario where agents operate and work with financial data.

Key Takeaways:

  • Architecture and functionality of LLM agents
  • Insights into agents' transformative potential in the finance sector.
  • Foundational skills to explore the integration of LLM agents into use cases.
  • Understanding of the difference between RAG, chains, and agents
  • Practical knowledge of two use cases:
  1. Financial analysis using agents
  2. Search for the latest information using LLM LLM-based agent 

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