Mastering Generative AI with OpenAI

This is an end-to-end course on OpenAI covering all the aspects ranging from beginner to advanced scenarios. 

It is based on a use-case-driven approach for developers to focus on modules that are aligned with their needs or a specific area. The demos and labs act as templates for the students to customize the code for their requirements easily.

At a high level, this course covers the following topics: 

• Big Picture of OpenAI:  Understand the structure of OpenAI models, tokens, prompt engineering, available models, tools, libraries, services, free tier, and the pricing structure. 

• Models of OpenAI: Understand the large language models and image generators offered by OpenAI, along with the critical use cases and scenarios.

• Prompt Engineering: Explain what prompt engineering is and define the best practices of providing prompts for the generative AI models. We will use ChatGPT and OpenAI Playground to explore prompt engineering

• Text Completion: This section explores auto-completion of text based on the prompts. It introduces the key concepts of tokens and how to optimize the prompts for cost and accuracy. 

• Code Completion: Extending the concept of code completion, we will learn how OpenAI can generate code based on comments and prompts. 

• Q&A Generation: This section explores how OpenAI models can generate Q&A based on an input text. 

• Image Generation: Based on DALL-E 2, we will explore how to apply prompt engineering to generate images.

• Building a Chatbot: Using the OpenAI Chat API, we will build a custom chatbot that can respond to various queries. 

• Content Moderation: In this section, we will explore how to identify hate speech by invoking the right API exposed by OpenAI

• Speech to Text Conversion: Based on the Whisper model, we will generate text from an audio file.

• Fine-uning Models: In this section, we will provide a custom dataset to GPT3 to generate a new fine-tuned model capable of answering questions based on the custom dataset. 

• Roadmap: This section includes possible features expected from OpenAI, such as the plugins.