This repo provides a comprehensive guide to mastering OpenAI's powerful models using Python. Each topic is covered with detailed code examples, a detailed Medium.com article and is accompanied by a YouTube tutorial for a complete learning experience.
- Comprehensive Coverage: From basics to advanced topics in OpenAI.
- Python Code Examples: Practical and easy-to-follow examples.
- YouTube Tutorials: Each topic includes a link to a corresponding YouTube video for visual learners.
- Structured Learning Path: Follow a clear path from beginner to advanced topics.
- What is Generative AI and Large Language Models
- Introduction to OpenAI and Working with the GPT models
- Understand GPT Tokens and Brief Comparison of GPT Models
- Connect GPT models with External tools using Function Calling
- Image creation and manipulation with DALL-E
- Text-to-speech conversion
- Speech-to-text transcription and translation with Whisper
- Identify potential harmful text with Moderation Model
- Fine-tuning GPT models for specific tasks
- OpenAI Rate Limits - Essential Guide to Manage Requests and Tokens
- Save 50% on OpenAI: Complete Guide to Batch Requests
- OpenAI Production Best Practices
- Clone the Repository:
git clone github.com/BuildWithLal/openai-essentials.git - Navigate to Topics: Each file contains code examples
- Follow Along: Use the code and watch the videos or read relevant articles to enhance your understanding.
- OpenAI
- python-dotenv
- notebook