OpenAI API for Python Developers

Introduction

• AI integration with Python

1. Introducing Generative AI: What You Need to Know

• Generative AI: The future of development
• Generative AI: Genesis and evolution
• What you should know
• What tools you need

2. Generative AI: The Key Concepts and Getting Started

• Getting started with OpenAI: Create an account
• Getting started with OpenAI: The key concepts
• Start a new project: Quickstart
• Configure the project: Set up an API key
• Defining prompts and making requests

3. ChatGPT API: Build a Chatbot Application

• Introduction to conversational AI
• Project setup and overview
• Authentication and configuration
• Define a system message with instructions
• Making requests and generating chat completions
• Challenge: Create a funny chatbot
part 1
• Solution: Create a funny chatbot
part 2
• Solution: Create a funny chatbot
4. Experimenting with Other Generative Models
• Introducing the Moderation API
• Add a moderation layer
• Text to image: Introducing the DALL·E model
• Generate creative art with DALL·E
• Create an image gallery with DALL·E
• Whisper Audio API: Speech-to-text
• Whisper Audio API: Transcribe audio samples
• Whisper Audio API: Translate audio sample
5. Extending the LLM Capabilities with Function Calling
• Introduction to OpenAI function calling
• Define functions and parameters
• Call functions
• Challenge: Connect to a public API
• Solution: Call functions and generate extended responses
6. Building a Custom-Knowledge Chatbot with LangChain, Embeddings, and ChromaDB
• Getting started with LangChain
• LangChain key concepts
• Chain components (LCEL)
• Load and split documents
• Create a vector store and embeddings (Chroma)
• Run chains: Knowledge retrieval and content generation
• Create a user interface with Streamlit
Conclusion
• Last words and next steps