Mastering OpenAI API Programming
Mastering OpenAI API Programming
A Comprehensive Guide To OpenAI’s GPT, Whisper, And DALL-E Model APIs
About the Book
Mastering OpenAI API Programming: A Comprehensive Guide to OpenAI’s GPT, Whisper, and DALL-E Model APIs is a meticulously crafted resource designed to help developers, researchers, and AI enthusiasts unlock the full potential of OpenAI's groundbreaking technologies. This book offers readers a comprehensive understanding of the OpenAI API and its associated models, including GPT, Whisper, and DALL-E, along with practical examples and best practices that empower you to build and deploy state-of-the-art AI applications.
This book provides a solid foundation in OpenAI's AI models and the usage of the corresponding APIs.
Discover GPT (Generative Pre-trained Transformer), a series of large-scale language models that have revolutionized natural language processing, chatbot development, translation, and more. Gain insights into the latest iteration, GPT-4, and learn how its increased model size, enhanced training techniques, efficient API, and expanded support for multiple languages and domains make it a game-changer in AI applications.
Whisper, OpenAI's general-purpose speech recognition model, is a powerful tool for converting spoken language into written text. Learn how this multi-task model, trained on a vast dataset of diverse audio, can be applied to transcription services, voice assistants, and other innovative applications.
DALL-E, the AI system capable of generating stunning images from natural language descriptions, brings a new dimension to creative fields such as art, advertising, and design. Explore the inner workings of DALL-E and how it can generate, edit, or create variations of images based on user-provided prompts.
Mastering OpenAI API Programming covers essential topics, such as setting up the OpenAI API, authenticating requests, using the API for text completion, chat applications, image generation, speech recognition, and fine-tuning models for custom applications and improved performance.
By the end of this book, you will have a thorough understanding of OpenAI API programming, equipping you with the knowledge and skills required to build powerful AI applications that leverage the full potential of OpenAI’s GPT, Whisper, and DALL-E models.
Embark on this exciting journey and harness the future of AI in your projects.
About the Author
Table of Contents
- 1. Introduction
- Brief history of OpenAI
- GPT (Generative Pre-trained Transformer)
- Whisper
- DALL-E
- 2. Getting Started with GPT-4
- A. Obtaining API Access
- B. Installing Required Libraries
- C. Making Your First API Call
- 3. Fundamentals of GPT-4 Programming
- Understanding the Chat-Based API
- Controlling Response Characteristics
- Improving Response Quality
- Working with the Messages Array
- Generating Multiple Completions with the n Parameter
- Streamed Completions
- Conclusion
- 4. Practical GPT-4 Programming
- Practical Example 1: How to Create An AI-Powered Python Web App With Flask And GPT-4 API
- Practical Example 2: Build a Complete Context-Aware AI Chatbot Web App With Node.js, Socket.IO, and GPT-4 API
- 5. Getting Started With Whisper
- Introduction to Whisper API
- Setting Up the OpenAI Python Library
- Transcribing Audio with the Whisper API
- Translating Audio into English with the Whisper API
- Handling Different File Formats and Languages
- Working with Long Audio Files
- Whisper Prompting
- 6. Practical Whisper Programming
- Practical Example 1: Record And Transcripe Audio With Python And Whisper
- Practical Example 2: Record And Transcripe Audio With Node.js And Whisper
- Practical Example 3: Python Flask Web App To Transcribe YouTube Videos With Whisper
- 7. Fundamentals of DALL-E
- Setting Up Your Environment
- Interacting with the Images API
- Advanced Techniques and Tips
- Conclusion
- 8. Practical DALL-E Programming
- Obtaining The OpenAI API Key
- Implementing The Node.js Application
- Compete Source Code
- Testing The Node.js Application
- 9. Embeddings API
- Introduction to Embeddings
- OpenAI’s Text Embeddings
- Getting Started with the OpenAI Embeddings API
- Advanced Usage
- Limitations and Risks
- Conclusion
- 10. Error Handling
- Overview of Python Library Error Types
- Handling APIError
- Handling Timeout Errors
- Handling RateLimitError
- Handling APIConnectionError
- Handling InvalidRequestError
- Handling AuthenticationError
- Handling ServiceUnavailableError
- Programmatically Handling Errors
- Conclusion
- 11. Bonus: Prompt Engineering
- Prompt Engineering Best Practices
- Using ChatGPT and The OpenAI Playground
- Tips for Effective Prompts
- Conclusion
- 12. Bonus: ChatGPT Plugin Development
- How do ChatGPT Plugins Work?
- Building a Plugin
- The Conversation Begins
- The Building Blocks of a Plugin
- The Manifest File: Your Plugin’s ID Card
- The OpenAPI Definition: The Blueprint of Your API
- Running Your Plugin: The Test Drive
- Writing Descriptions
- Best Practices: The Do’s and Don’ts
- Debugging: The Detective Work
- Wrapping Up
- 13. Bonus: Function Calling
- Why is Function Calling Important?
- How to Implement Function Calling: A Step-by-Step Python Example
- Wrapping Up
- 1. Introduction
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