OpenAI GPT For Python Developers - 2nd Edition: The art and science of building AI-powered apps with GPT-4, Whisper, Weaviate, and beyond - Paperback

by Aymen El Amri (Author)

A Most Excellent Book Thomas Taylor

The knowledge you'll acquire from this guide will be applicable to the current families of GPT models and will likely also be relevant to GPT-5, should it ever be released.

• Fine-tuned, domain-specific chatbots.
• An intelligent conversational system with memory and context.
• A semantic modern search engine using RAG and other techniques.
• An intelligent coffee recommendation system based on your taste.
• A chatbot assistant to assist with Linux commands
• A fine-tuned news category prediction system.
• An AI-to-AI autonomous discussion system to simulate human-like conversations or solve problems
• An AI-based mental health coach trained on a large dataset of mental health conversations
• and more!

By reading this guide and following the examples, you will be able to:

• Understand the different models available, and how and when to use each one.
• Generate human-like text for various purposes, such as answering questions, creating content, and other creative uses.
• Control the creativity of GPT models and adopt the best practices to generate high-quality text.
• Transform and edit the text to perform translation, formatting, and other useful tasks.
• Optimize the performance of GPT models using various parameters and options such as max_tokens, temperature, top_p, n, stream, logprobs, stop, presence_penalty, frequency_penalty, best_of, and others.
• Stem, lemmatize, and reduce your costs when using the API.
• Understand Context Stuffing, chaining, and practice prompt engineering.
• Implement a chatbot with memory and context.
• Create prediction algorithms and zero-shot techniques and evaluate their accuracy.
• Understand, practice, and improve few-shot learning.
• Understand fine-tuning and leverage its power to create your own fine-tuned models.
• Implement fine-tuning best practices
• Practice training and classification techniques using GPT.
• Understand embedding and how companies such as Tesla and Notion are using it.
• Understand and implement semantic search, RAG, and other advanced tools/concepts.
• Integrate a Vector Database (Weaviate) with your intelligent systems.