LLMs in Practice: Real World Applications, Challenges and Success Stories - Image 1

£157.99

Elsevier LLMs in Practice: Real World Applications, Challenges and Success Stories

Name: LLMs in Practice: Real World Applications, Challenges and Success Stories
Brand: Elsevier
Price: 157.99 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£158 today · cheaper than every other day in the last 2 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 14 days • 14 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 14 days • 1 price levels

Days at Price

Price Analysis

Most common price: £158 (14 days, 100.0%)

Price range: £158 - £158

Price levels: 1 different prices over 14 days

Description

LLMs in Practice: Real World Applications, Challenges and Success Stories offers a deeply applied, interdisciplinary perspective on how Large Language Models (LLMs) are being integrated into the real world―spanning industries, healthcare, education, governance, mental health, creative domains, and intelligent systems. The book presents a blend of technical insights, sector-specific applications, governance frameworks, and ethical considerations. Designed for both academic and professional audiences, it equips readers to responsibly deploy LLMs while fostering innovation, equity, and scalability. LLMs in Practice: Real World Applications, Challenges & Success Stories addresses a significant gap in current literature by offering a focused and practice-oriented examination of how Large Language Models (LLMs) are being applied across diverse real-world domains. While there is widespread academic and public interest in generative AI, there exists no single resource that cohesively captures its deployment frameworks, sector-specific applications, ethical considerations, and pedagogical integration―especially from a multidisciplinary and global perspective. This book provides deployment guidance, prompt optimization, and reliability strategies; governance frameworks, risk mitigation tools, and audit strategies; and offers case studies, instructional models, project templates, career-aligned examples, and skill-building paths. Provides a comprehensive understanding of how LLMs are transforming sectors such as healthcare, education, law, and business Serves as a reference for researchers, practitioners, and innovators seeking to design, evaluate, and scale generative AI systems Supports educators and students by offering structured resources for teaching, learning, and project-based engagement with LLMs Promotes responsible innovation by highlighting frameworks for ethical governance, transparency, and inclusive AI adoption across varied socio-economic contexts

Product Specifications

Brand: Elsevier
Format: paperback
ASIN: 0443443440
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 05 August 2026
Listed Since: 11 February 2026

Barcode

No barcode data available

Elsevier LLMs in Practice: Real World Applications, Challenges and Success Stories

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions (Intelligent Data-Centric Systems)

Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

The Evolution of Artificial Intelligence in Healthcare: From Basic Methods to Clinical Practice

Artificial Intelligence and Large Language Models: An Introduction to the Technological Future

Introduction to Generative AI: An Ethical, Societal, and Legal Overview

LLMs in Action: Text, Tables, Images and Sound

Applications of Artificial Intelligence in Healthcare: The Changing Landscape

How Large Language Models Work

Data Science First: Using Language Models in AI-Enabled Applications

AI and Computational Intelligence for Environmental Sustainability

Agentic AI Unleashed: A guide to designing, building, and deploying autonomous AI systems (English Edition)

Mastering NLP from Foundations to LLMs: Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python

Applications, Challenges, and the Future of ChatGPT (Advances in Computational Intelligence and Robotics)

Methodologies, Frameworks, and Applications of Machine Learning

Generative AI and Libraries: Claiming Our Place in the Center of a Shared Future

The Pioneering Applications of Generative AI

The Pioneering Applications of Generative AI (Advances in Computational Intelligence and Robotics)

Self-Learning AI in Healthcare: Agentic Systems for Smarter Medicine

Utilizing AI Tools in Academic Research Writing

A Common-Sense Guide to AI Engineering: Build Production-Ready LLM Applications

AI and the Boardroom: Insights into Governance, Strategy, and the Responsible Adoption of AI

Embedded Artificial Intelligence and the Internet of Things for Photovoltaic Systems: From Monitoring to Maintenance and Security

Big Data Mining and Machine Learning in Geoscience

Artificial Intelligence and Data Science in Electric Vehicle Technology and Infrastructure