Деталі електронної книги

Keeping up with the rapid advancements in NLP can be challenging. Mastering NLP from Foundations to Agents, Second Edition is a complete guide to navigating this evolving landscape. Written by NLP experts, this updated edition not only reinforces core NLP and Machine Learning (ML) fundamentals but also teaches you the latest techniques to build cutting-edge language applications. It offers fully revised content with new chapters on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agent architectures, model evaluation, and AI safety—ensuring you stay at the forefront of modern NLP. You'll begin with essential math and ML foundations, then move on to text preprocessing and classic NLP tasks. With these fundamentals in place, the book delves into advanced topics: you’ll learn to integrate large language models (LLMs) into your applications, implement RAGS, and even orchestrate multiple AI agents using frameworks like LangChain. This edition includes updated Python examples (provided as Jupyter notebooks on GitHub) that leverage the latest libraries, including techniques like LoRA for efficient LLM fine-tuning. By the end of the book, you’ll be able to confidently build advanced NLP solutions that combine solid fundamentals with the power of LLMs and AI agents