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This course covers generative AI with OpenAI’s ChatGPT, emphasizing prompt design and practical uses in marketing, research, and code generation.

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OpenAI aims to leverage artificial intelligence (AI) for the benefit of humanity. With the launch of ChatGPT, it has introduced a large-scale application of generative AI to create new content using machine learning algorithms. OpenAI offers a set of pretrained, ready-to-use models that can be consumed by the general public. 

This course starts with a basic introduction to generative AI, OpenAI, and ChatGPT, along with their potential use cases. It pitches the significance of prompt engineering with some practical and ethical considerations. You’ll explore various application domains where ChatGPT can enhance productivity, including marketing, research, and code generation. 

After completing this course, you’ll have the knowledge to explore the generative AI field and start using ChatGPT and OpenAI’s model APIs in your own projects while keeping some technical considerations in mind, including prompt design and bias mitigation.

Modern Generative AI with ChatGPT and OpenAI Models

They determine the popularity of the AI system.

They control the emotions expressed by the AI system.

They are essential for determining the success of the conversation with the AI system.

Why are well-defined prompts crucial in engaging AI systems in a conversation?

Why are well-defined prompts crucial in engaging AI systems in a conversation?

Adjusting the model parameters by adding new parameters to fit the data for the new task

Training the model on a large labeled dataset specific to the new task

Leveraging the knowledge learned from pre-training and adapting it to the new task

Configuring billions of parameters for a more capable response

What is the key idea behind fine-tuning OpenAI models for specific tasks?

What is the key idea behind fine-tuning OpenAI models for specific tasks?

To confuse the model with ambiguous instructions

To provide a detailed context for better comprehension

To enhance the model's ability to generate a wider variety of responses

To reduce the amount of context provided to the model for quicker responses

What is the purpose of the “Acting as...” hack when using ChatGPT?

What is the purpose of the “Acting as…” hack when using ChatGPT?

To generate synthetic data for training purposes

To enhance the model’s creativity in generating responses

To classify and prevent unsafe conversations based on predefined categories

To introduce hidden biases intentionally into the model’s output

What is the purpose of the Moderator API in ChatGPT?

What is the purpose of the Moderator API in ChatGPT?

Test your understanding of the concepts covered in this chapter.

Getting Started

Introduction to Generative AI

OpenAI and ChatGPT—Beyond the Market Hype

Getting Familiar with ChatGPT

Understanding Prompt Design

Boosting Day-to-Day Productivity with ChatGPT

Developing the Future with ChatGPT

Mastering Marketing with ChatGPT

Research Reinvented with ChatGPT

OpenAI and ChatGPT for Enterprises—Introducing Azure OpenAI

Trending Use Cases for Enterprises

Epilogue and Final Thoughts

Appendix

Quiz: Understanding Prompt Design