Function-Calling and Data Extraction with LLMs - Syllabus

• Introduction
  • Overview of function-calling and structured data extraction with LLMs
  • Course objectives and key concepts
• What is Function Calling
  • Introduction to function-calling capabilities in LLMs
  • Code examples for basic function-calling prompts
• Function Calling Variations
  • Implementing multiple function calls in sequence, parallel, and nested forms
  • Examples of complex agent workflows
• Interfacing with External Tools
  • Using OpenAPI specifications to build function calls
  • Accessing web services with function-calling
• Structured Extraction
  • Using function-calling to extract structured data from natural language
  • Examples of data extraction for practical applications
• Applications
  • Real-world applications of function-calling and data extraction
  • Implementing structured data extraction in different scenarios
• Course Project: Dialog Processing
  • Building an application to process customer service transcripts
  • Generating SQL calls and storing results in a database
• Conclusion
  • Summary of key takeaways and future directions