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

Zobacz także:

• Jak zhakowa 125,00 zł, (10,00 zł -92%)
• Biologika Sukcesji Pokoleniowej. Sezon 3. Konflikty na terytorium 124,17 zł, (14,90 zł -88%)
• Windows Media Center. Domowe centrum rozrywki 66,67 zł, (8,00 zł -88%)
• Podręcznik startupu. Budowa wielkiej firmy krok po kroku 93,13 zł, (14,90 zł -84%)
• Ruby on Rails. Ćwiczenia 18,75 zł, (3,00 zł -84%)

Spis treści

Mastering NLP From Foundations to Agents. Building AI Agents through Agentic Automation and RAG Workflows with Python - Second Edition eBook -- spis treści

• 1. Navigating the NLP Landscape – A Comprehensive Introduction
• 2. Mastering Linear Algebra, Probability, and Statistics for ML and NLP
• 3. Unleashing Machine Learning Potentials in NLP
• 4. Streamlining Text Preprocessing Techniques for Optimal NLP Performance
• 5. Empowering Text Classification – Leveraging Traditional ML Techniques
• 6. Text Classification Reimagined – Deep Learning & Transformer Models
• 7. Demystifying LLMs – Theory, Design, and Implementation
• 8. TBD Dedicated to advanced topics: fine tuning, RLHF, reasoning)
• 9. Advanced Setup and Integration: with RAGs and MCP
• 10. Multi-Agent Solutions & Advanced Agent Frameworks
• 11. TBD Technical Guardrails: The Architecture of AI Safety and Responsible Implementation
• 12. Including industry trends and Exclusive Industry Insights