This foundational module delves into the intricacies of GPT models, setting the stage for advanced prompt engineering. It covers the basics of GPT architectures, explores the evolution beyond GPT-3, and introduces the ethical considerations and biases inherent in these models. Learners will gain a solid understanding of how GPT models are trained and their primary applications, paving the way for more complex prompt engineering techniques.

Dive deep into the art and science of prompt engineering with advanced techniques such as few-shot learning, zero-shot learning, and prompt chaining. This module also covers strategies for mitigating biases and misinformation through careful prompt design. Participants will learn how to customize GPT for domain-specific applications and integrate GPT with other AI systems, gaining hands-on experience in crafting sophisticated prompts for a variety of tasks.

This concluding module focuses on evaluating GPT model performance and building scalable GPT applications. Learners will explore techniques for assessing model accuracy, reliability, and responsiveness, and discover strategies for deploying scalable applications that can handle large volumes of requests and data efficiently. The module will also revisit ethical considerations, offering strategies to ensure responsible AI use in real-world applications.