Publisher's Synopsis
Natural Language Processing with Transformers and Python: Practical AI Solutions
Overview
Natural Language Processing (NLP) has transformed the way AI interacts with human language, and transformer models are at the heart of this revolution. Natural Language Processing with Transformers and Python: Practical AI Solutions provides a hands-on, practical guide to building powerful NLP applications using state-of-the-art transformer models.
This book walks you through implementing, fine-tuning, and deploying transformers for tasks like text generation, sentiment analysis, chatbots, search engines, and more. Whether you're a beginner exploring NLP or an experienced developer looking to optimize your models, this guide offers real-world examples, step-by-step tutorials, and efficient coding practices to help you master transformers with Python.
Starting with the basics of transformers and NLP fundamentals, this book gradually progresses to advanced model training, fine-tuning techniques, and real-world deployments. You'll learn how to work with popular libraries like Hugging Face Transformers, PyTorch, and TensorFlow, optimize models for speed and accuracy, and deploy them as APIs. Additionally, you'll explore cutting-edge topics such as Retrieval-Augmented Generation (RAG), semantic search, and multimodal AI.
By the end of this book, you will have the skills to develop, customize, and scale NLP solutions that can process and understand human language with near-human accuracy.
Key Features of This BookHands-on NLP Projects - Implement real-world applications like chatbots, summarization, translation, and sentiment analysis.
Fine-Tuning and Optimization - Learn how to fine-tune transformer models for domain-specific tasks and improve efficiency.
Hugging Face and Python Ecosystem - Work with industry-standard tools and libraries to build and deploy transformer models.
Deploying NLP Models - Convert models into APIs using FastAPI, Flask, and cloud platforms like Hugging Face Spaces & AWS Lambda.
Emerging Trends - Explore multimodal AI, retrieval-augmented generation (RAG), and next-generation transformer architectures.
This book is ideal for:
Machine learning engineers and AI developers looking to integrate transformer models into real-world applications.
Data scientists and NLP practitioners who want to fine-tune and deploy custom NLP solutions.
Python programmers interested in learning the latest advancements in NLP with hands-on projects.
Tech enthusiasts and researchers eager to explore modern AI trends and innovations in NLP.
Unlock the power of transformers and Python to build cutting-edge NLP applications. Whether you're building chatbots, search engines, or text-generation models, this book provides everything you need to create intelligent AI-driven solutions.
