£127.96

LLMs for Healthcare: A Practical Guide to Process and Evaluation

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£127.96 £118.63 £120.67 £122.70 £124.74 £126.77 £128.81 27 January 2026 18 February 2026 12 March 2026 03 April 2026 26 April 2026

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2 days 88 days · current 0 22 44 66 88 £119 £128 Days at Price

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Most common price: £128 (88 days, 97.8%)

Price range: £119 - £128

Price levels: 2 different prices over 90 days

Description

Master the implementation of artificial intelligence in medical settings with Large Language Models (LLMs) for Healthcare: A Practical Guide to Their Process and Evaluation. Published by Productivity Press, this book serves as a professional resource for understanding how these advanced models function and how to measure their performance effectively. Navigating the intersection of technology and medicine requires a clear understanding of both development processes and evaluation metrics. This guide provides a structured approach to managing large language models within the healthcare sector, making it a valuable addition to your professional library. Whether you are managing computing projects or exploring new digital tools for medical data, this text offers a practical framework for your journey. It is designed for those looking to bridge the gap between complex AI processes and real-world healthcare applications.

Key Features

Comprehensive guide to the technical processes involved in implementing large language models within healthcare environments.

Detailed methods for the evaluation of LLM performance to ensure accuracy and reliability in medical contexts.

Practical insights published by Productivity Press to assist in navigating complex computing management tasks.

Structured approach to understanding the lifecycle of large language models from development to application.

Professional resource tailored for managers and specialists working at the intersection of healthcare and technology.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 September 2025
Listed Since
23 January 2025

Barcode

No barcode data available

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