The Developer's Playbook for Large Language Model Security: Building Secure AI Applications - Image 1

£32.17

O'Reilly The Developer's Playbook for Large Language Model Security: Building Secure AI Applications

Name: The Developer's Playbook for Large Language Model Security: Building Secure AI Applications
Brand: O'Reilly
Price: 32.17 GBP
Availability: InStock

AI & Machine Learning

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

£32 today · cheaper than every other day in the last 19 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 372 days • 372 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 372 days • 4 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £38-41 (180 days, 48.4%)

Price range: £32 - £47

Price levels: 4 price ranges over 372 days

Description

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models. Complete with collective wisdom gained from the creation of the OWASP Top 10 for LLMs list--a feat accomplished by more than 400 industry experts--this guide delivers real-world guidance and practical strategies to help developers and security teams grapple with the realities of LLM applications. Whether you're architecting a new application or adding AI features to an existing one, this book is your go-to resource for mastering the security landscape of the next frontier in AI. You'll learn: Why LLMs present unique security challenges How to navigate the many risk conditions associated with using LLM technology The threat landscape pertaining to LLMs and the critical trust boundaries that must be maintained How to identify the top risks and vulnerabilities associated with LLMs Methods for deploying defenses to protect against attacks on top vulnerabilities Ways to actively manage critical trust boundaries on your systems to ensure secure execution and risk minimization

Product Specifications

Brand: O'Reilly
Format: paperback
ASIN: 109816220X
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 13 September 2024
Listed Since: 27 March 2024

Barcode

No barcode data available

O'Reilly The Developer's Playbook for Large Language Model Security: Building Secure AI Applications

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

Introduction to Foundation Models

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

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

Generative AI Security: Theories and Practices (Future of Business and Finance)

Secure Intelligent Machines: Protecting AI from Cyberattack

Generative AI Security: Theories and Practices (Future of Business and Finance)

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

Large Language Models (LLMs)

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

Hands-On Large Language Models: Language Understanding and Generation

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

Next Generation AI Language Models in Research: Promising Perspectives and Valid Concerns

Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications

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

Enhancing LLM Performance: Efficacy, Fine-Tuning, and Inference Techniques: 7 (Machine Translation: Technologies and Applications, 7)

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

Designing Large Language Model Applications: A Holistic Approach

LLMs in Production: From Language Models to Successful Products

Large Language Models in Cybersecurity: Threats, Exposure and Mitigation

Interpretable and Trustworthy AI: Techniques and Frameworks

Securing AI Agents: Foundations, Frameworks, and Real-World Deployment (Advances in Data Analytics, AI, and Smart Systems)

Generative AI For Business Leaders: Complete Book Collection: Fundamentals, Strategy and Transformation (Byte-Sized Learning)

Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions (Tech Today)

Genai on Google Cloud: Enterprise Generative AI Systems and Agents