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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

Limited context, exploding gradients, and difficulty in parallelization

Lack of positional encoding, vanishing gradients, and sequential processing

Limited context, vanishing and exploding gradients, and limited data processing

Lack of activation functions, vanishing gradients, and overemphasis on parallelization

What were the main limitations of traditional recurrent neural networks (RNNs)?

What were the main limitations of traditional recurrent neural networks (RNNs)?

What problem does the transformer architecture address by replacing recurrence with a self-attention mechanism?

What problem does the transformer architecture address by replacing recurrence with a self-attention mechanism?

In GPT-3, which architectural component is unique compared to the traditional transformer architecture?

In GPT-3, which architectural component is unique compared to the traditional transformer architecture?

To represent the position of a word in the sequence

To adjust the learning rate during training

What is the purpose of the positional encoding in the transformer architecture?

What is the purpose of the positional encoding in the transformer architecture?

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: OpenAI and ChatGPT—Beyond the Market Hype