Название: Python GPT Cookbook: 75+ practical recipes for building NLP solutions for the real world
Автор: Neil Williams
Издательство: BPB Publications
Год: 2025
Страниц: 512
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

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.

Through practical examples, useful explanations, and a structured approach, this book aims to equip readers with a solid understanding of creating solutions with GPT and Python. It is a practical guide designed to cater to business professionals, including product managers, data scientists, machine learning engineers, NLP engineers, and ML researchers with prior knowledge of Python and some understanding of machine learning.

Each chapter includes recipes and practical tips to help readers deepen their understanding and apply concepts. By the end of the book, readers will have gained a strong understanding of GPT and how to apply the technology to real-world natural language processing tasks, e.g., text summarization, content generation, programming, chatbots, and conversational agents.

In the field of ML and Deep Learning, certain frameworks have established themselves as essential tools for implementing, training, and deploying sophisticated models. Among these, GPT has become a leading architecture, advancing the capabilities of NLP and beyond. While earlier chapters covered the mechanics of GPT, this chapter focuses on using GPT models within two widely adopted deep learning frameworks: PyTorch and TensorFlow. Each framework has its own strengths and specific features, making the choice between them a matter of project needs and personal preference. This chapter introduces these frameworks, provides a comparison, and guides you through practical GPT implementations. It combines theoretical insights with hands-on recipes to support real-world applications.

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, and ML researchers will also find it useful.

Contents: