Building Applications with Large Language Models

eBook Details:

• Paperback: 297 pages
• Publisher: WOW! eBook (December 14, 2024)
• Language: English
• ISBN-10: 8868805684
• ISBN-13: 978-8868805684

eBook Description:

Building Applications with Large Language Models: Techniques, Implementation, and Applications

This Building Applications with Large Language Models book delves into a broad spectrum of topics, covering the foundational aspects of Large Language Models (LLMs) such as PaLM, LLaMA, BERT, and GPT, among others.

The book takes you through the complexities involved in creating and deploying applications based on LLMs, providing you with an in-depth understanding of the model architecture. You will explore techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG). The book also addresses different ways to evaluate LLM outputs and discusses the benefits and limitations of large models. The book focuses on the tools, techniques, and methods essential for developing Large Language Models. It includes hands-on examples and tips to guide you in building applications using the latest technology in Natural Language Processing (NLP). It presents a roadmap to assist you in navigating challenges related to constructing and deploying LLM-based applications.

What You Will Learn

• Be able to answer the question: What are Large Language Models?
• Understand techniques such as prompt engineering, fine-tuning, RAG, and vector databases
• Know the best practices for effective implementation
• Know the metrics and frameworks essential for evaluating the performance of Large Language Models

By the end of the Building Applications with Large Language Models book, you will understand LLMs and build applications with use cases that align with emerging business needs and address various problems in the realm of language processing.