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OpenAI API Bible Volume 2
Chapter 3: Embeddings and Semantic Search
3.1 Understanding Text Embeddings
3.2 When to Use Embeddings
3.3 Using FAISS for Basic Vector Search
3.4 Intro to Pinecone and Other Vector Databases
Practical Exercises — Chapter 3
Chapter 3 Summary
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Chapter 1: Image Generation and Vision with OpenAI Models
1.1 Prompt-Based Image Generation with DALL·E 3
1.2 Editing and Inpainting with DALL·E 3
1.3 Vision Output Capabilities in GPT-4o
Practical Exercises — Chapter 1
Chapter 1 Summary
Project: Visual Story Generator: GPT-4o + DALL·E image flow based on prompt narrative
1. Skills You'll Practice
2. Example Use Case
3. Setup and Complete Code
4. Step-by-Step Explanation (Referencing the Code Above)
Chapter 2: Audio Understanding and Generation with Whisper and GPT-4o
2.1 Uploading Audio Files
2.2 Transcription and Translation with Whisper API
2.3 Speech Understanding in GPT-4o
2.4 Voice-to-Voice Conversations
Practical Exercises — Chapter 2
Project: Voice Assistant Recorder — Use Whisper + GPT-4o to Transcribe, Summarize, and Analyze
Skills You’ll Practice
Example Use Case
Project Code
Optional Extensions
What You Built
Chapter 3: Embeddings and Semantic Search
3.1 Understanding Text Embeddings
3.2 When to Use Embeddings
3.3 Using FAISS for Basic Vector Search
3.4 Intro to Pinecone and Other Vector Databases
Practical Exercises — Chapter 3
Quiz Part I
Questions
Answers
Chapter 4: Building a Simple Chatbot with Memory
4.1 Flask and Streamlit Implementations
4.2 Creating Interactive User Interfaces
4.3 Implementing Session-Based Chat Memory
Practical Exercises — Chapter 4
Chapter 4 Summary
Project: Building a Simple Chatbot with Memory
Project Description
Technologies Used
Project Steps
Chapter 5: Image and Audio Integration Projects
5.1 DALL·E + Flask Web App
5.2 Interactive Image Generation with Flask
5.3 Whisper-Powered Voice Note Transcriber
5.4 Audio Sentiment Analysis with OpenAI
5.5 Basic Integration of Multiple Modalities
Chapter 6: Cross-Model AI Suites
6.1 Combining GPT + DALL·E + Whisper
6.2 Building a Creator Dashboard
6.3 Automating Summaries, Transcriptions, and Images
6.4 Deploying and Maintaining Your Multimodal App
Practical Exercises — Chapter 6
Quiz Part II
Questions
Answers
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Chapter 3: Embeddings and Semantic Search
3.1 Understanding Text Embeddings
3.1 Understanding Text Embeddings
3.1 Understanding Text Embeddings
3.1 Understanding Text Embeddings
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