The Developer's Playbook for Large Language Model Security
Building Secure AI Applications
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The Developer's Playbook for Large Language Model Security
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Narrado por:
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Jonathan Yen
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De:
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Steve Wilson
Acerca de esta escucha
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
- How to identify the top risks and vulnerabilities associated with LLMs
- Methods for deploying defenses to protect against attacks on top vulnerabilities
And more!
©2024 Stephen Wilson (P)2025 Ascent AudioLos oyentes también disfrutaron...
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Historia1.5 out of 5 stars 6
In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.
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1 out of 5 stars
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Really hard to follow when everything is see code
- De Senthil Manick en 05-12-25
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AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
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General4.5 out of 5 stars 26
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Narración:4.5 out of 5 stars 20
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Historia4.5 out of 5 stars 20
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
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5 out of 5 stars
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
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Terraform: Up and Running (3rd Edition)
- Writing Infrastructure as Code
- De: Yevgeniy Brikman
- Narrado por: Daniel Henning
- Duración: 13 h y 56 m
- Versión completa
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on third edition, expanded and thoroughly updated for version 1.0 and beyond, shows you the fastest way to get up and running with Terraform.
De: Yevgeniy Brikman
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Machine Learning Interviews
- Kickstart Your Machine Learning and Data Career
- De: Susan Shu Chang
- Narrado por: Xifeng Brooks
- Duración: 9 h y 39 m
- Versión completa
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General5 out of 5 stars 1
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Narración:5 out of 5 stars 1
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Historia5 out of 5 stars 1
As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.
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5 out of 5 stars
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Great advice, and read well.
- De Goodmann en 01-26-25
De: Susan Shu Chang
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Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- De: Chip Huyen
- Narrado por: Kathleen Li
- Duración: 12 h y 55 m
- Versión completa
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.
De: Chip Huyen
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Generative Deep Learning (2nd Edition)
- Teaching Machines to Paint, Write, Compose, and Play
- De: David Foster
- Narrado por: Mike Cooper
- Duración: 11 h y 30 m
- Versión completa
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.
De: David Foster
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Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- De: Alex Petrov
- Narrado por: Mike Chamberlain
- Duración: 12 h y 51 m
- Versión completa
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General4 out of 5 stars 6
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Narración:5 out of 5 stars 5
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Historia3.5 out of 5 stars 5
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
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5 out of 5 stars
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I can't believe this exists as an audiobook.
- De Michael Marcin en 12-18-23
De: Alex Petrov
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The Prompt Recipe
- A Practical Guide to Prompt Engineering and AI Interaction
- De: Alden Vale
- Narrado por: Virtual Voice
- Duración: 4 h y 32 m
- Versión completa
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General4.5 out of 5 stars 8
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Narración:4.5 out of 5 stars 7
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Historia4 out of 5 stars 7
The Prompt Recipe: A Practical Guide to Prompt Engineering and AI Interaction Unlock the full potential of AI tools like ChatGPT—without guesswork, gimmicks, or copy-paste hacks. If you’ve used generative AI, you’ve seen both its promise and its pitfalls. Sometimes it delivers exactly what you need. But more often, the results feel generic, vague, or off-target. The problem isn’t the tool—it’s how we’re using it. This book introduces a powerful idea: a great prompt isn’t a magic formula, it’s a thinking strategy. Whether you're a consultant, entrepreneur, marketer, manager...
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5 out of 5 stars
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Great introduction to creating prompts for AIS. I found a lot of good info
- De Thanks Dad en 05-09-25
De: Alden Vale
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Software Engineering at Google
- Lessons Learned from Programming Over Time
- De: Titus Winters, Tom Manshreck, Hyrum Wright
- Narrado por: Mark Sando
- Duración: 23 h y 36 m
- Versión completa
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General4.5 out of 5 stars 214
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Narración:4.5 out of 5 stars 174
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Historia4.5 out of 5 stars 173
How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.
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2 out of 5 stars
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not useful
- De Andreas Andersen en 07-21-21
De: Titus Winters, y otros
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AI Agents in Action
- De: Micheal Lanham
- Narrado por: Christopher Kendrick
- Duración: 7 h y 58 m
- Versión completa
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General4.5 out of 5 stars 2
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Narración:4 out of 5 stars 2
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Historia4.5 out of 5 stars 2
From script-free customer service chatbots to fully independent agents operating seamlessly in the background, AI-powered assistants represent a breakthrough in machine intelligence. In AI Agents in Action, you'll master a proven framework for developing practical agents that handle real-world business and personal tasks.
De: Micheal Lanham
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The Kubernetes Book
- De: Nigel Poulton
- Narrado por: Nigel Poulton
- Duración: 4 h y 33 m
- Versión completa
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General4.5 out of 5 stars 195
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Narración:5 out of 5 stars 173
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Historia4.5 out of 5 stars 172
Containers are revolutionizing the way we build, ship, and run our applications. But like all good things, they come with their own set of challenges. This is where Kubernetes enters the scene. Kubernetes helps you deploy and manage containerized applications at scale. With Kubernetes, you can develop your applications on your laptop, deploy to your chosen cloud platform, migrate to a different cloud platform, and even migrate to your private cloud at your on-premises datacenter.
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5 out of 5 stars
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Finally a technical book for Audible
- De Dave K en 08-28-19
De: Nigel Poulton
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Software Architecture: The Hard Parts
- Modern Trade-Off Analyses for Distributed Architectures
- De: Neal Ford, Mark Richards, Pramod Sadalage, y otros
- Narrado por: Dena Dahilig
- Duración: 12 h y 53 m
- Versión completa
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General4 out of 5 stars 20
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Narración:4.5 out of 5 stars 16
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Historia4 out of 5 stars 16
There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.
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3 out of 5 stars
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Great content. Terrible narration.
- De Alex en 12-16-23
De: Neal Ford, y otros
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Tidy First?
- A Personal Exercise in Empirical Software Design
- De: Kent Beck
- Narrado por: Stephen R. Thorne
- Duración: 2 h y 41 m
- Versión completa
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General4 out of 5 stars 7
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Narración:4 out of 5 stars 6
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Historia4.5 out of 5 stars 6
Messy code is a nuisance. "Tidying" code, to make it more readable, requires breaking it up into manageable sections. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might apply tidyings to improve your code while keeping the overall structure of the system in mind. Instead of trying to master tidying all at once, this book lets you try out a few examples that make sense for your problem. If you have a big function containing many lines of code, you'll learn how to logically divide it into smaller chunks.
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2 out of 5 stars
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do yourself a favor and skip the audio book
- De goranche en 04-30-25
De: Kent Beck