welcome

Thank you for purchasing the MEAP version of Hugging Face in Action.

AI is incredibly significant today, and Hugging Face stands at the forefront of this transformative technology. By leveraging Hugging Face, you can quickly become productive with its extensive collection of pre-trained models and datasets. This book will guide you through building applications that:

Understand natural language processing (NLP)
Utilize cutting-edge Large Language Models (LLMs)
Answer questions based on custom datasets (RAG apps)
And more!

The book assumes you have a basic understanding of Python and are familiar with libraries such as NumPy and Pandas.

Here is an overview of the chapters:

Chapter 1 – Introduction to Hugging Face
Chapter 2 – Getting Started
Chapter 3 – Utilizing Hugging Face Transformers and Pipelines for NLP Tasks
Chapter 4 – Applying Hugging Face for Computer Vision
Chapter 5 – Working with Hugging Face Datasets
Chapter 6 – Training Machine Learning Models with AutoTrain
Chapter 7 – Implementing Agents
Chapter 8 – Developing LLM-based Applications with LangChain and LlamaIndex
Chapter 9 – Building LangChain Applications Visually with LangFlow
Chapter 10 – Creating Web-Based UIs with Gradio
Chapter 11 – Developing Locally-Running LLM-based Applications with GPT4ALL
Chapter 12 – Using LLMs to Query Your Local Data