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About NLP with Transformers and Python
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. 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.
Detailed Information
| Author: | Raul D. Knotts |
|---|---|
| Pages: | 167 |
| Language: | English |
| File Size: | 4.4 |
| Format: | |
| Price: | FREE |
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