Building Applications with Large Language Models

Techniques, Implementation, and Applications

Autor*innen

• Bhawna Singh

Parameter

• 200 Seiten
• 7 Lesestunden

• Computer & Internet

Mehr zum Buch

This book explores a wide range of topics related to Large Language Models (LLMs) like PaLM, LLaMA, BERT, and GPT. It provides a comprehensive understanding of the complexities involved in creating and deploying LLM-based applications, focusing on model architecture. Key techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG) are thoroughly examined. The book also discusses evaluation methods for LLM outputs, highlighting the benefits and limitations of large models. Essential tools, techniques, and methods for developing LLMs are covered, along with practical examples and tips for building applications using cutting-edge Natural Language Processing (NLP) technology. A roadmap is provided to help navigate the challenges of constructing and deploying LLM applications. By the end, readers will grasp the fundamentals of LLMs and be equipped to create applications that meet emerging business needs and solve various language processing challenges. The content is tailored for AI and ML developers and enthusiasts looking for hands-on experience, as well as those seeking a technical understanding of LLMs. The book includes chapters on foundational models, adaptation through fine-tuning, prompt engineering, RAG, evaluation, development tools, production deployment, ethical considerations, and the future of AI.

• Sprache: Englisch
• Erscheinungsdatum: 2025
• Einband: Paperback