about this book
This book was written to help developers build applications for multimodal data analysis using state-of-the-art language models. It introduces language models and the most important libraries for using them in Python. Via a series of mini projects, it showcases how to use language models to analyze text, tabular data, graph data, images, videos, and audio files. By discussing topics such as prompt engineering, fine-tuning, and advanced software frameworks, the book will enable you to quickly build complex data-analysis applications with language models that are effective and cost-efficient.
Who should read this book?
Whether you are a software developer, data scientist, or hobbyist interested in data analysis, this book is for you if you want to exploit the powerful abilities of large language models to perform various types of data analysis. Prior experience with language models is unnecessary, as the book covers all the basics. However, experience with Python is helpful, at least at a beginner’s level, as this book uses Python to interact with language models.
How this book is organized: A road map
This book has 10 chapters in three parts. Part 1 introduces language models and gives a first impression of their benefits for data analysis:
- Chapter 1 introduces language models and explains how they can be used for data analysis.
- Chapter 2 guides you through a chat with ChatGPT, illustrating the analysis of text and tabular data in the ChatGPT web interface.