As artificial intelligence continues to evolve, large language models like GPT-4 have become increasingly sophisticated, offering unprecedented opportunities and challenges across various domains. This lecture aims to provide a deep dive into the mechanics of interacting with these models effectively.

The lecture will cover basic to advanced prompting techniques as well as approaches of solving complex problems through problem decomposition and iterative refinement. These techniques will be illustrated with practical examples, exploring the benefits and limitations of each.

By the end of this lecture, attendees will have a comprehensive understanding of how to harness the full potential of large language models for a variety of tasks, from text generation to complex problem-solving applied of enterprise use cases.