Python GPT Cookbook

GPT has redefined the landscape of AI, enabling the creation of powerful language models capable of diverse applications. The objective of the Python GPT Cookbook is to equip readers with practical recipes and foundational knowledge to build business solutions using GPT and Python.

The book is divided into four parts. The first covers the basics, the second teaches the fundamentals of NLP, the third delves into applying GPT in various fields, and the fourth provides a conclusion. Each chapter includes recipes and practical insights to help readers deepen their understanding and apply the concepts presented. This cookbook approach delivers 78 practical recipes, including creating OpenAI accounts, utilizing playgrounds and API keys. You will learn text preprocessing, embeddings, fine-tuning, and GPT integration with Hugging Face. Learn to implement GPT using PyTorch and TensorFlow, convert models, and build authenticated actions. Applications include chatbots, email summarization, DBA copilots, and use cases in marketing, sales, IP, and manufacturing.

By the end of the book, readers will have a robust understanding of GPT models and how to use them for real-world NLP tasks, along with the skills to continue exploring this powerful technology independently.

WHAT YOU WILL LEARN
● Learn Python, OpenAI, TensorFlow, Hugging Face, and vector databases.
● Master Python for NLP applications and data manipulation.
● Understand and implement GPT models for various tasks.
● Integrate GPT with various architectural components, such as databases, third-party APIs, servers, and data pipelines
● Utilise NLTK, PyTorch, and TensorFlow for advanced NLP projects.
● Use Jupyter for interactive coding and data analysis.

WHO THIS BOOK IS FOR
The Python GPT Cookbook is for IT professionals and business innovators who already have basic Python skills. Data scientists, ML engineers, NLP engineers, ML researchers will also find it useful.

1. Introduction to GPT 
2. Getting started
3. Pre-processing Text Data
4. Embeddings
5. Fine tuning
6. GPT & Hugging Face
7. GPT & vector databases
8. GPT, PyTorch & Tensorflow
9. Custom GPT Actions
10. Integrating GPT with the enterprise
11. Marketing & sales with GPT
12. GPT applied to Intellectual Property
13. GPT in manufacturing
14. Debugging and Performance Optimisation 
15. Future Directions and Emerging Trends

Neil Williams has over 30 years of industry expertise and specializes in data science. Awarded a PhD in 1998 for his research in computer vision for subsea robotics, Neil has guided governmental and commercial projects. He excels at explaining complex AI concepts to diverse audiences, blending theory with real-world examples.