£36.28

O'Reilly Privacy and Security for Large Language Models Book

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Description

As AI deployment grows, protecting data within large language models (LLMs) becomes a top priority for professionals. This book by Dr. Baihan Lin provides a guide for those looking to use the power of LLMs for personalized applications while maintaining strict data security. Managing privacy in AI is a significant challenge. Data leaks and privacy breaches can result in serious financial and reputational damage. This resource addresses these risks by exploring practical, privacy-preserving techniques. It is designed for professionals who need to balance the benefits of personalized AI with the necessity of safeguarding sensitive information. By focusing on hands-on methods, this guide helps you navigate the complex landscape of AI security and data protection.

Key Features

Addresses the growing need to protect data privacy when deploying large language models in professional environments.

Provides hands-on techniques for implementing privacy-preserving methods in personalized AI applications.

Helps professionals mitigate the risk of data leaks and privacy breaches that lead to financial loss.

Explores ways to leverage the power of LLMs while maintaining strict security standards for sensitive data.

Offers a comprehensive look at the security challenges faced during the rapid surge of AI technology deployment.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 January 2026
Listed Since
30 June 2025

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