In this module, participants will gain an understanding of what large language models (LLMs) are and how they have revolutionized natural language processing. They will explore the capabilities and limitations of LLMs, their training process, and the significance of models like ChatGPT in various applications.

This module provides an overview of OpenAI's language models, focusing on ChatGPT. Participants will learn about the architecture, underlying technology, and the unique features that make ChatGPT a powerful language model. They will also explore the resources and APIs available for integrating ChatGPT into their projects.

In this module, participants will master the art of prompt engineering, learning strategies to craft high-quality prompts that effectively guide ChatGPT's responses. By understanding how to frame questions, provide context, and optimize prompts, they will achieve accurate and relevant outputs. Furthermore, the module will explore the applications of ChatGPT in text transformation tasks, including summarization, rewriting, paraphrasing, and language translation, supplemented with practical examples and best practices to ensure desired results.

Plugins offer a way to extend ChatGPT's functionality. In this module, participants will explore the concept of ChatGPT plugins including Browse with Bing and Advanced Data Analysis, and how to develop and integrate them into their projects. They will learn about the plugin architecture, implementation strategies, and use cases for enhancing ChatGPT's capabilities.

IT professionals can benefit from ChatGPT's capabilities in troubleshooting, code assistance, and system administration. In this module, participants will explore how ChatGPT can be utilized in the IT domain. They will learn techniques for effectively interacting with the model to obtain solutions, debug code, and perform routine IT tasks.

As AI technologies advance, ethical considerations become paramount. This module discusses the ethical implications of using large language models like ChatGPT. Participants will explore responsible AI practices, bias mitigation, data privacy, and the importance of ensuring the responsible deployment of AI systems.

Copilots are collaborative coding assistants powered by language models. In this module, participants will learn about the concept of Copilots and how they can assist software developers in writing code more efficiently. They will understand the integration of ChatGPT into code editors, its capabilities, and the benefits it brings to the software development process.

The final module explores the future perspectives of ChatGPT and large language models. Participants will delve into ongoing research, potential advancements in AI technology, and the implications of increasingly advanced language models. They will gain insights into the evolving landscape of AI and its impact on various industries and domains.