
The Developer's Playbook for Large Language Model Security
Building Secure AI Applications
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast

Compra ahora por $17.19
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrado por:
-
Jonathan Yen
-
De:
-
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...
-
Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- De: James Phoenix, Mike Taylor
- Narrado por: Mike Chamberlain
- Duración: 11 h y 6 m
- Versión completa
-
General
-
Narración:
-
Historia
Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.
De: James Phoenix, y otros
-
Agentic Artificial Intelligence
- Harnessing AI Agents to Reinvent Business, Work and Life
- De: Pascal Bornet, Jochen Wirtz, Thomas H. Davenport, y otros
- Narrado por: Rory Young
- Duración: 14 h y 42 m
- Versión completa
-
General
-
Narración:
-
Historia
This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.
-
-
Agent specific topics were good
- De James Oravec en 05-09-25
De: Pascal Bornet, y otros
-
Designing Distributed Systems (2nd Edition)
- Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes
- De: Brendan Burns
- Narrado por: Tom Beyer
- Duración: 8 h y 33 m
- Versión completa
-
General
-
Narración:
-
Historia
Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.
De: Brendan Burns
-
AI Agents in Action
- De: Micheal Lanham
- Narrado por: Christopher Kendrick
- Duración: 7 h y 58 m
- Versión completa
-
General
-
Narración:
-
Historia
Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs. 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
-
Fundamentals of Software Architecture
- An Engineering Approach
- De: Mark Richards, Neal Ford
- Narrado por: Benjamin Lange
- Duración: 13 h y 10 m
- Versión completa
-
General
-
Narración:
-
Historia
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
-
-
Helpful but business-centric
- De A.N. en 03-25-21
De: Mark Richards, y otros
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
-
General
-
Narración:
-
Historia
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
-
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
-
Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- De: James Phoenix, Mike Taylor
- Narrado por: Mike Chamberlain
- Duración: 11 h y 6 m
- Versión completa
-
General
-
Narración:
-
Historia
Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.
De: James Phoenix, y otros
-
Agentic Artificial Intelligence
- Harnessing AI Agents to Reinvent Business, Work and Life
- De: Pascal Bornet, Jochen Wirtz, Thomas H. Davenport, y otros
- Narrado por: Rory Young
- Duración: 14 h y 42 m
- Versión completa
-
General
-
Narración:
-
Historia
This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.
-
-
Agent specific topics were good
- De James Oravec en 05-09-25
De: Pascal Bornet, y otros
-
Designing Distributed Systems (2nd Edition)
- Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes
- De: Brendan Burns
- Narrado por: Tom Beyer
- Duración: 8 h y 33 m
- Versión completa
-
General
-
Narración:
-
Historia
Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.
De: Brendan Burns
-
AI Agents in Action
- De: Micheal Lanham
- Narrado por: Christopher Kendrick
- Duración: 7 h y 58 m
- Versión completa
-
General
-
Narración:
-
Historia
Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs. 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
-
Fundamentals of Software Architecture
- An Engineering Approach
- De: Mark Richards, Neal Ford
- Narrado por: Benjamin Lange
- Duración: 13 h y 10 m
- Versión completa
-
General
-
Narración:
-
Historia
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
-
-
Helpful but business-centric
- De A.N. en 03-25-21
De: Mark Richards, y otros
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
-
General
-
Narración:
-
Historia
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
-
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
-
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
-
General
-
Narración:
-
Historia
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.
-
-
Great content. Terrible narration.
- De Alex en 12-16-23
De: Neal Ford, y otros
-
Building Microservices
- Designing Fine-Grained Systems
- De: Sam Newman
- Narrado por: Theodore O'Brien
- Duración: 21 h y 12 m
- Versión completa
-
General
-
Narración:
-
Historia
As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
-
-
Easy to Understand
- De Anonymous User en 04-27-22
De: Sam Newman
-
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
-
General
-
Narración:
-
Historia
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.
-
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Making Embedded Systems
- Design Patterns for Great Software
- De: Elecia White
- Narrado por: April Doty
- Duración: 16 h y 2 m
- Versión completa
-
General
-
Narración:
-
Historia
Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more.
-
-
Comprehensive Guide to Embedded Systems for all levels of reader/listener.
- De James en 03-13-25
De: Elecia White
-
JavaScript (7th Edition)
- The Definitive Guide: Master the World's Most-Used Programming Language
- De: David Flanagan
- Narrado por: Gabriel Vaughan
- Duración: 25 h y 27 m
- Versión completa
-
General
-
Narración:
-
Historia
This book is for programmers who want to learn JavaScript and for web developers who want to take their understanding and mastery to the next level. It begins by explaining the JavaScript language itself, in detail, from the bottom up. It then builds on that foundation to cover the web platform and Node.js.
De: David Flanagan
-
The AI-Driven Leader
- Harnessing AI to Make Faster, Smarter Decisions
- De: Geoff Woods
- Narrado por: Geoff Woods
- Duración: 6 h y 38 m
- Versión completa
-
General
-
Narración:
-
Historia
The difference between growing your business and going out of business is your ability to think strategically. The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.
-
-
Incredible!
- De Kaylee Richard en 03-24-25
De: Geoff Woods
-
Product Management in Practice (2nd Edition)
- A Practical, Tactical Guide for Your First Day and Every Day After
- De: Matt LeMay
- Narrado por: Matt LeMay, Sara Powell
- Duración: 10 h y 11 m
- Versión completa
-
General
-
Narración:
-
Historia
Product management has become a critical function for modern organizations, from small startups to corporate enterprises. And yet, the day-to-day work of product management remains largely misunderstood. In theory, product managers are high-flying visionaries who build products that people love. In practice, they're hard-working facilitators who bring clarity and focus to their teams. In this thoroughly revised and expanded edition, Matt LeMay provides real-world guidance for current and aspiring product managers.
-
-
Fantastic wisdom
- De A. Niedt en 09-24-24
De: Matt LeMay
-
The Staff Engineer's Path
- A Guide for Individual Contributors Navigating Growth and Change
- De: Tanya Reilly
- Narrado por: Wendy Tremont King
- Duración: 13 h y 52 m
- Versión completa
-
General
-
Narración:
-
Historia
For years, companies have rewarded their most effective engineers with management positions. But treating management as the default path for an engineer with leadership ability doesn't serve the industry well—or the engineer. The staff engineer's path allows engineers to contribute at a high level as role models, driving big projects, determining technical strategy, and raising everyone's skills. This in-depth book shows you how to understand your role, manage your time, master strategic thinking, and set the standard for technical work.
-
-
Not for all engineers
- De Dan H en 05-27-24
De: Tanya Reilly
-
The DevSecOps Playbook
- Deliver Continuous Security at Speed
- De: Sean D. Mack
- Narrado por: William Sarris
- Duración: 7 h y 9 m
- Versión completa
-
General
-
Narración:
-
Historia
In The DevSecOps Playbook: Deliver Continuous Security at Speed, the chief information and information security officer at Wiley, Sean D. Mack, delivers an insightful and practical discussion of how to keep your business secure. You'll learn how to leverage the classic triad of people, process, and technology to build strong cybersecurity infrastructure and practices. You'll also discover the shared responsibility model at the core of DevSecOps as you explore the principles and best practices that make up contemporary frameworks.
-
-
Great overview!!!
- De BushSam en 11-12-24
De: Sean D. Mack
-
Make It Stick
- The Science of Successful Learning
- De: Peter C. Brown, Henry L. Roediger III, Mark A. McDaniel
- Narrado por: Qarie Marshall
- Duración: 8 h y 34 m
- Versión completa
-
General
-
Narración:
-
Historia
To most of us, learning something 'the hard way' implies wasted time and effort. Good teaching, we believe, should be creatively tailored to the different learning styles of students and should use strategies that make learning easier. Make It Stick turns fashionable ideas like these on their head and will appeal to all those interested in the challenge of lifelong learning and self-improvement.
-
-
FOR THOSE WHO WANT TO KNOW HOW TO LEARN
- De ANDRÉ en 11-22-14
De: Peter C. Brown, y otros
-
Thinking in Systems
- A Primer
- De: Donella H. Meadows
- Narrado por: Tia Rider Sorensen
- Duración: 6 h y 26 m
- Versión completa
-
General
-
Narración:
-
Historia
In the years following her role as the lead author of the international best seller, Limits to Growth - the first book to show the consequences of unchecked growth on a finite planet - Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001. Thinking in Systems is a concise and crucial book offering insight for problem-solving on scales ranging from the personal to the global. Edited by the Sustainability Institute's Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world....
-
-
Skip to the Middle
- De John Chambers en 06-20-20
-
The Pragmatic Programmer: 20th Anniversary Edition, 2nd Edition
- Your Journey to Mastery
- De: David Thomas, Andrew Hunt
- Narrado por: Anna Katarina
- Duración: 9 h y 55 m
- Versión completa
-
General
-
Narración:
-
Historia
Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.
-
-
An excellent and entertaining technical book
- De Amazon Customer en 01-21-20
De: David Thomas, y otros
Las personas que vieron esto también vieron...
-
Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- De: James Phoenix, Mike Taylor
- Narrado por: Mike Chamberlain
- Duración: 11 h y 6 m
- Versión completa
-
General
-
Narración:
-
Historia
Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.
De: James Phoenix, y otros
-
Hands-On Large Language Models
- Language Understanding and Generation
- De: Jay Alammar, Maarten Grootendorst
- Narrado por: Derek Shoales
- Duración: 10 h
- Versión completa
-
General
-
Narración:
-
Historia
AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. With this book, listeners will learn practical tools and concepts they need to use these capabilities today.
De: Jay Alammar, y otros
-
Designing Distributed Systems (2nd Edition)
- Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes
- De: Brendan Burns
- Narrado por: Tom Beyer
- Duración: 8 h y 33 m
- Versión completa
-
General
-
Narración:
-
Historia
Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.
De: Brendan Burns
-
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
-
General
-
Narración:
-
Historia
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
-
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
-
General
-
Narración:
-
Historia
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.
-
-
Great advice, and read well.
- De Goodmann en 01-26-25
De: Susan Shu Chang
-
AI Agents in Action
- De: Micheal Lanham
- Narrado por: Christopher Kendrick
- Duración: 7 h y 58 m
- Versión completa
-
General
-
Narración:
-
Historia
Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs. 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
-
Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- De: James Phoenix, Mike Taylor
- Narrado por: Mike Chamberlain
- Duración: 11 h y 6 m
- Versión completa
-
General
-
Narración:
-
Historia
Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.
De: James Phoenix, y otros
-
Hands-On Large Language Models
- Language Understanding and Generation
- De: Jay Alammar, Maarten Grootendorst
- Narrado por: Derek Shoales
- Duración: 10 h
- Versión completa
-
General
-
Narración:
-
Historia
AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. With this book, listeners will learn practical tools and concepts they need to use these capabilities today.
De: Jay Alammar, y otros
-
Designing Distributed Systems (2nd Edition)
- Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes
- De: Brendan Burns
- Narrado por: Tom Beyer
- Duración: 8 h y 33 m
- Versión completa
-
General
-
Narración:
-
Historia
Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.
De: Brendan Burns
-
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
-
General
-
Narración:
-
Historia
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
-
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
-
General
-
Narración:
-
Historia
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.
-
-
Great advice, and read well.
- De Goodmann en 01-26-25
De: Susan Shu Chang
-
AI Agents in Action
- De: Micheal Lanham
- Narrado por: Christopher Kendrick
- Duración: 7 h y 58 m
- Versión completa
-
General
-
Narración:
-
Historia
Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs. 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
-
Build a Large Language Model (From Scratch)
- De: Sebastian Raschka
- Narrado por: Julie Brierley
- Duración: 7 h y 40 m
- Versión completa
-
General
-
Narración:
-
Historia
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.
-
-
Really hard to follow when everything is see code
- De Senthil Manick en 05-12-25
-
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
-
General
-
Narración:
-
Historia
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
-
AI Engineering
- Building Applications with Foundation Models
- De: Chip Huyen
- Narrado por: Edelyn Okano
- Duración: 21 h y 12 m
- Versión completa
-
General
-
Narración:
-
Historia
Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.
De: Chip Huyen
-
Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- De: Chip Huyen
- Narrado por: Kathleen Li
- Duración: 15 h
- Versión completa
-
General
-
Narración:
-
Historia
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
-
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
-
General
-
Narración:
-
Historia
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.
-
-
not useful
- De Andreas Andersen en 07-21-21
De: Titus Winters, y otros
-
AI First, Human Always
- Embracing a New Mindset for the Era of Superintelligence
- De: Sandy Carter
- Narrado por: Coleen Marlo
- Duración: 8 h y 33 m
- Versión completa
-
General
-
Narración:
-
Historia
Written by seasoned tech executive Sandy Carter, AI First, Human Always is your guidebook to the seven hottest trends in AI. This book will recalibrate your approach to the exponential curve of emerging AI solutions for business. It will help you transform today's unstoppable currents of change into tailwinds that propel your organization to great heights.
De: Sandy Carter
-
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
-
General
-
Narración:
-
Historia
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.
-
-
I can't believe this exists as an audiobook.
- De Michael Marcin en 12-18-23
De: Alex Petrov
-
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
-
General
-
Narración:
-
Historia
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.
-
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Agentic Artificial Intelligence
- Harnessing AI Agents to Reinvent Business, Work and Life
- De: Pascal Bornet, Jochen Wirtz, Thomas H. Davenport, y otros
- Narrado por: Rory Young
- Duración: 14 h y 42 m
- Versión completa
-
General
-
Narración:
-
Historia
This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.
-
-
Agent specific topics were good
- De James Oravec en 05-09-25
De: Pascal Bornet, y otros
-
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
-
General
-
Narración:
-
Historia
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.
-
-
Great content. Terrible narration.
- De Alex en 12-16-23
De: Neal Ford, y otros
-
Data Science for Dummies
- 2nd Edition
- De: Lillian Pierson, Jake Porway - foreword
- Narrado por: Chloe Cannon
- Duración: 10 h y 28 m
- Versión completa
-
General
-
Narración:
-
Historia
Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.
-
-
Avoid as it is useless
- De Ras en 03-01-20
De: Lillian Pierson, y otros
-
Fundamentals of Software Architecture
- An Engineering Approach
- De: Mark Richards, Neal Ford
- Narrado por: Benjamin Lange
- Duración: 13 h y 10 m
- Versión completa
-
General
-
Narración:
-
Historia
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
-
-
Helpful but business-centric
- De A.N. en 03-25-21
De: Mark Richards, y otros