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Learn to implement multi-agent function calling with Large Language Models (LLMs) in this 29-minute coding tutorial that demonstrates how to integrate OpenAI's new function calling capabilities and latest models like gpt-4-0613 with Python CLASS AI Agents. Master direct API interactions without LangChain dependencies while exploring JSON functionality for querying both OpenAI's API and external APIs. Follow along with simplified code examples and explanations designed for educational clarity, focusing on core concepts rather than extensive error handling. Examine real-world applications through cognitive science research papers, including studies on AI's impact on social science research and AI-augmented surveys for opinion prediction. Access additional resources through recommended official OpenAI cookbook notebooks that provide detailed examples of Chat Completions API implementation and knowledge base function interactions.
