Building Applications with Large Language Models: Techniques, Implementation, and Applications - Image 1

£18.30

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

Name: Building Applications with Large Language Models: Techniques, Implementation, and Applications
Brand: Apress
Price: 42.12 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 24 days • 24 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 24 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £31 (9 days, 37.5%)

Price range: £18 - £43

Price levels: 6 different prices over 24 days

Description

This 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. By the end of the 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. 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 Who This Book Is For An essential resource for AI-ML developers and enthusiasts eager to acquire practical, hands-on experience in this domain; also applies to individuals seeking a technical understanding of Large Language Models (LLMs) and those aiming to build applications using LLMs

Product Specifications

Brand: Apress
Format: paperback
ASIN: B0D8PL988Z
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 30 November 2024
Listed Since: 03 July 2024

Barcode

No barcode data available

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

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Large Language Models: A Deep Dive: Bridging Theory and Practice

Large Language Models: Concepts, Techniques and Applications

Large Language Models (LLMs)

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG

Introduction to Python and Large Language Models: A Guide to Language Models

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs

LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development

LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems

Designing Large Language Model Applications: A Holistic Approach

Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3

Building AI Intensive Python Applications: Create intelligent apps with LLMs and vector databases

LLMs in Production: From Language Models to Successful Products

Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents

Hands-On Large Language Models: Language Understanding and Generation

Transformers and Large Language Models: The Definitive Study Guide: From Foundations to Advanced Applications: A Comprehensive Resource for Mastering ... Modern AI: Foundations to Production)

The LLM Engineering Bible [All-in-One]: Everything on How to Build, Deploy, and Scale Production-Ready AI Systems in 30 Days. Includes Practical and Updated LLM Use Cases Ideas and Expert Tips

Natural Language Processing with Python Updated Edition: From Basics to Advanced Projects: Mastering Text Analysis, Machine Learning Models, and Chatbot Development (Mastering the AI Revolution)

Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications

Build a Large Language Model (From Scratch)

Generative AI and LLMs: Natural Language Processing and Generative Adversarial Networks

Generative AI with LangChain: Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph

The Dark Hundred-Page Language Models Book

Architecting Enterprise AI Applications: A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions