AI Engineering
Building Applications with Foundation Models
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
$0.99/mes por los primeros 3 meses
Exclusivo para miembros Prime: ¿Nuevo en Audible? Obtén 2 audiolibros gratis con tu prueba.
AI Engineering
Resérvalo en preventa por $20.99
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrado por:
-
Edelyn Okano
-
De:
-
Chip Huyen
Acerca de esta escucha
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.
The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach.
AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications.
Los oyentes también disfrutaron...
-
The Ultimate Generative AI Guidebook
- How Anyone Can Master Advanced AI Concepts and Practical Applications Stress-Free
- De: Jordan Blake
- Narrado por: Michael Robinson
- Duración: 5 h y 2 m
- Versión completa
-
General5 out of 5 stars 52
-
Narración:5 out of 5 stars 50
-
Historia5 out of 5 stars 50
You’re standing at the forefront of a technological revolution… But who do you want to be in charge: It or you? Generative AI is shaping the future, and there’s really no choice but to get on board… and it’s only when you do that you’ll be able to access its incredible benefits. Want to boost your creativity? Enhance your efficiency? Solve problems more easily? AI can help you with all of these things… But it requires something of you first.
-
1 out of 5 stars
-
Underwhelming
- De Vin en 04-06-25
De: Jordan Blake
-
Modern Software Engineering
- Doing What Works to Build Better Software Faster
- De: David Farley
- Narrado por: Amy Gordon
- Duración: 9 h y 37 m
- Versión completa
-
General4.5 out of 5 stars 113
-
Narración:4.5 out of 5 stars 92
-
Historia4.5 out of 5 stars 92
In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues.
-
3 out of 5 stars
-
Could have been a 1-page bulleted list
- De Elle7se en 12-30-22
De: David Farley
-
Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
- Versión completa
-
General4 out of 5 stars 5
-
Narración:4.5 out of 5 stars 5
-
Historia4.5 out of 5 stars 5
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
-
5 out of 5 stars
-
Great Start for Those interested in data.
- De armando en 09-02-24
De: Alex J. Gutman, y otros
-
Artificial Intelligence
- A Guide for Thinking Humans
- De: Melanie Mitchell
- Narrado por: Abby Craden, Melanie Mitchell, Tony Wolf
- Duración: 9 h y 33 m
- Versión completa
-
General4.5 out of 5 stars 414
-
Narración:4.5 out of 5 stars 351
-
Historia4.5 out of 5 stars 349
In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.
-
5 out of 5 stars
-
Start understanding AI right here!
- De Chad M. en 01-26-20
De: Melanie Mitchell
-
The Nvidia Way
- Jensen Huang and the Making of a Tech Giant
- De: Tae Kim
- Narrado por: Michael Braun
- Duración: 9 h y 42 m
- Versión completa
-
General4.5 out of 5 stars 217
-
Narración:5 out of 5 stars 202
-
Historia4.5 out of 5 stars 202
Nvidia is the darling of the age of artificial intelligence: the company’s chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a Denny’s in East San Jose, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.
-
1 out of 5 stars
-
Don’t Buy This Book Be Forewarned
- De Susan Hess en 12-25-24
De: Tae Kim
-
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
-
General4.5 out of 5 stars 38
-
Narración:4.5 out of 5 stars 33
-
Historia4.5 out of 5 stars 33
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.
-
5 out of 5 stars
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
-
The Ultimate Generative AI Guidebook
- How Anyone Can Master Advanced AI Concepts and Practical Applications Stress-Free
- De: Jordan Blake
- Narrado por: Michael Robinson
- Duración: 5 h y 2 m
- Versión completa
-
General5 out of 5 stars 52
-
Narración:5 out of 5 stars 50
-
Historia5 out of 5 stars 50
You’re standing at the forefront of a technological revolution… But who do you want to be in charge: It or you? Generative AI is shaping the future, and there’s really no choice but to get on board… and it’s only when you do that you’ll be able to access its incredible benefits. Want to boost your creativity? Enhance your efficiency? Solve problems more easily? AI can help you with all of these things… But it requires something of you first.
-
1 out of 5 stars
-
Underwhelming
- De Vin en 04-06-25
De: Jordan Blake
-
Modern Software Engineering
- Doing What Works to Build Better Software Faster
- De: David Farley
- Narrado por: Amy Gordon
- Duración: 9 h y 37 m
- Versión completa
-
General4.5 out of 5 stars 113
-
Narración:4.5 out of 5 stars 92
-
Historia4.5 out of 5 stars 92
In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues.
-
3 out of 5 stars
-
Could have been a 1-page bulleted list
- De Elle7se en 12-30-22
De: David Farley
-
Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
- Versión completa
-
General4 out of 5 stars 5
-
Narración:4.5 out of 5 stars 5
-
Historia4.5 out of 5 stars 5
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
-
5 out of 5 stars
-
Great Start for Those interested in data.
- De armando en 09-02-24
De: Alex J. Gutman, y otros
-
Artificial Intelligence
- A Guide for Thinking Humans
- De: Melanie Mitchell
- Narrado por: Abby Craden, Melanie Mitchell, Tony Wolf
- Duración: 9 h y 33 m
- Versión completa
-
General4.5 out of 5 stars 414
-
Narración:4.5 out of 5 stars 351
-
Historia4.5 out of 5 stars 349
In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.
-
5 out of 5 stars
-
Start understanding AI right here!
- De Chad M. en 01-26-20
De: Melanie Mitchell
-
The Nvidia Way
- Jensen Huang and the Making of a Tech Giant
- De: Tae Kim
- Narrado por: Michael Braun
- Duración: 9 h y 42 m
- Versión completa
-
General4.5 out of 5 stars 217
-
Narración:5 out of 5 stars 202
-
Historia4.5 out of 5 stars 202
Nvidia is the darling of the age of artificial intelligence: the company’s chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a Denny’s in East San Jose, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.
-
1 out of 5 stars
-
Don’t Buy This Book Be Forewarned
- De Susan Hess en 12-25-24
De: Tae Kim
-
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
-
General4.5 out of 5 stars 38
-
Narración:4.5 out of 5 stars 33
-
Historia4.5 out of 5 stars 33
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.
-
5 out of 5 stars
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
Las personas que vieron esto también vieron...
-
Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- De: Chip Huyen
- Narrado por: Kathleen Li
- Duración: 15 h
- Versión completa
-
General0 out of 5 stars 0
-
Narración:0 out of 5 stars 0
-
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
-
Build a Large Language Model (From Scratch)
- De: Sebastian Raschka
- Narrado por: Julie Brierley
- Duración: 7 h y 40 m
- Versión completa
-
General3 out of 5 stars 5
-
Narración:2 out of 5 stars 4
-
Historia2 out of 5 stars 4
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.
-
3 out of 5 stars
-
Hard to follow when every other sentence “see code”. Some books don’t convey well in audio
- De Michael Little en 03-13-25
-
Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- De: James Phoenix, Mike Taylor
- Narrado por: Mike Chamberlain
- Duración: 13 h
- Versión completa
-
General0 out of 5 stars 0
-
Narración:0 out of 5 stars 0
-
Historia0 out of 5 stars 0
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
-
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
-
General4.5 out of 5 stars 25
-
Narración:4.5 out of 5 stars 19
-
Historia4.5 out of 5 stars 19
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.
-
5 out of 5 stars
-
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
-
General0 out of 5 stars 0
-
Narración:0 out of 5 stars 0
-
Historia0 out of 5 stars 0
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.
De: Pascal Bornet, y otros
-
The Software Engineer's Guidebook
- Navigating Senior, Tech Lead, and Staff Engineer Positions at Tech Companies and Startups
- De: Gergely Orosz
- Narrado por: Nikola Hamilton
- Duración: 15 h
- Versión completa
-
General5 out of 5 stars 4
-
Narración:5 out of 5 stars 4
-
Historia5 out of 5 stars 4
This audiobook is a summary of the advice I’ve given to software engineers over the years–and then some more. This audiobook follows the structure of a “typical” career path for a software engineer, from starting out as a fresh-faced software developer, through being a role model senior/lead, all the way to the staff/principle/distinguished level. It summarizes what I’ve learned as a developer and how I’ve approached coaching engineers at different stages of their careers.
De: Gergely Orosz
-
Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- De: Chip Huyen
- Narrado por: Kathleen Li
- Duración: 15 h
- Versión completa
-
General0 out of 5 stars 0
-
Narración:0 out of 5 stars 0
-
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
-
Build a Large Language Model (From Scratch)
- De: Sebastian Raschka
- Narrado por: Julie Brierley
- Duración: 7 h y 40 m
- Versión completa
-
General3 out of 5 stars 5
-
Narración:2 out of 5 stars 4
-
Historia2 out of 5 stars 4
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.
-
3 out of 5 stars
-
Hard to follow when every other sentence “see code”. Some books don’t convey well in audio
- De Michael Little en 03-13-25
-
Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- De: James Phoenix, Mike Taylor
- Narrado por: Mike Chamberlain
- Duración: 13 h
- Versión completa
-
General0 out of 5 stars 0
-
Narración:0 out of 5 stars 0
-
Historia0 out of 5 stars 0
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
-
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
-
General4.5 out of 5 stars 25
-
Narración:4.5 out of 5 stars 19
-
Historia4.5 out of 5 stars 19
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.
-
5 out of 5 stars
-
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
-
General0 out of 5 stars 0
-
Narración:0 out of 5 stars 0
-
Historia0 out of 5 stars 0
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.
De: Pascal Bornet, y otros
-
The Software Engineer's Guidebook
- Navigating Senior, Tech Lead, and Staff Engineer Positions at Tech Companies and Startups
- De: Gergely Orosz
- Narrado por: Nikola Hamilton
- Duración: 15 h
- Versión completa
-
General5 out of 5 stars 4
-
Narración:5 out of 5 stars 4
-
Historia5 out of 5 stars 4
This audiobook is a summary of the advice I’ve given to software engineers over the years–and then some more. This audiobook follows the structure of a “typical” career path for a software engineer, from starting out as a fresh-faced software developer, through being a role model senior/lead, all the way to the staff/principle/distinguished level. It summarizes what I’ve learned as a developer and how I’ve approached coaching engineers at different stages of their careers.
De: Gergely Orosz
-
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
-
General4.5 out of 5 stars 38
-
Narración:4.5 out of 5 stars 33
-
Historia4.5 out of 5 stars 33
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.
-
5 out of 5 stars
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, 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
-
General4.5 out of 5 stars 270
-
Narración:5 out of 5 stars 223
-
Historia4.5 out of 5 stars 220
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.
-
5 out of 5 stars
-
Helpful but business-centric
- De A.N. en 03-25-21
De: Mark Richards, y otros
-
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
-
General4.5 out of 5 stars 84
-
Narración:4.5 out of 5 stars 79
-
Historia4.5 out of 5 stars 79
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.
-
5 out of 5 stars
-
Incredible!
- De Kaylee Richard en 03-24-25
De: Geoff Woods
-
Architects of Intelligence
- The Truth About AI from the People Building It
- De: Martin Ford
- Narrado por: Mike Chamberlain
- Duración: 20 h y 7 m
- Versión completa
-
General4.5 out of 5 stars 75
-
Narración:4.5 out of 5 stars 54
-
Historia4.5 out of 5 stars 53
How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times best-selling author Martin Ford uncovers the truth behind these questions from some of the brightest minds in the artificial intelligence community.
-
5 out of 5 stars
-
Architects of Intelligence
- De GEORGE D RICE en 01-12-20
De: Martin Ford
-
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
-
General4 out of 5 stars 17
-
Narración:4.5 out of 5 stars 14
-
Historia4 out of 5 stars 14
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.
-
3 out of 5 stars
-
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
-
General5 out of 5 stars 104
-
Narración:5 out of 5 stars 82
-
Historia4.5 out of 5 stars 81
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.
-
5 out of 5 stars
-
Easy to Understand
- De Anonymous User en 04-27-22
De: Sam Newman
-
Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- De: Martin Kleppmann
- Narrado por: Benjamin Lange
- Duración: 20 h y 56 m
- Versión completa
-
General5 out of 5 stars 450
-
Narración:5 out of 5 stars 328
-
Historia5 out of 5 stars 325
Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
-
5 out of 5 stars
-
Must read for senior+ software engineers
- De Navid v en 05-29-21
De: Martin Kleppmann
-
The Ultimate Generative AI Guidebook
- How Anyone Can Master Advanced AI Concepts and Practical Applications Stress-Free
- De: Jordan Blake
- Narrado por: Michael Robinson
- Duración: 5 h y 2 m
- Versión completa
-
General5 out of 5 stars 52
-
Narración:5 out of 5 stars 50
-
Historia5 out of 5 stars 50
You’re standing at the forefront of a technological revolution… But who do you want to be in charge: It or you? Generative AI is shaping the future, and there’s really no choice but to get on board… and it’s only when you do that you’ll be able to access its incredible benefits. Want to boost your creativity? Enhance your efficiency? Solve problems more easily? AI can help you with all of these things… But it requires something of you first.
-
1 out of 5 stars
-
Underwhelming
- De Vin en 04-06-25
De: Jordan Blake
-
Co-Intelligence
- Living and Working with AI
- De: Ethan Mollick
- Narrado por: Ethan Mollick
- Duración: 4 h y 39 m
- Versión completa
-
General4.5 out of 5 stars 607
-
Narración:4.5 out of 5 stars 560
-
Historia4.5 out of 5 stars 560
Something new entered our world in November 2022—the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI.
-
5 out of 5 stars
-
great intro book marred by poor narration
- De Amazon Customer en 04-14-24
De: Ethan Mollick
-
The AI Edge
- Sales Strategies for Unleashing the Power of AI to Save Time, Sell More, and Crush the Competition
- De: Jeb Blount, Anthony Iannarino
- Narrado por: Jeb Blount, Anthony Iannarino
- Duración: 6 h y 28 m
- Versión completa
-
General4 out of 5 stars 10
-
Narración:4 out of 5 stars 10
-
Historia4 out of 5 stars 10
In today's cutthroat sales world, where sales professionals are constantly juggling multiple responsibilities and navigating a sea of relentless competitors, everyone is looking for an edge. What if that EDGE is found in a tool powerful enough to give you more time in your sales day, accelerate your productivity, and still leave room for the human touch that's vital to building relationships? Enter the game-changing world of Artificial Intelligence. Enter The AI Edge.
-
5 out of 5 stars
-
A showcasing of what could be
- De Ck1 en 04-12-25
De: Jeb Blount, y otros
-
The Essentials of AI Deep Learning and Neural Networks
- Beginner's Guide to Understanding Machine Learning and Building Advanced AI Skills in Minutes a Day
- De: Jordan Blake
- Narrado por: Susan Prater
- Duración: 4 h y 23 m
- Versión completa
-
General5 out of 5 stars 49
-
Narración:5 out of 5 stars 48
-
Historia5 out of 5 stars 48
Unlock the Secrets of AI Deep Learning and Neural Networks: Empower Your Future in Minutes a Day! Ready to dive into the world of artificial intelligence, but don’t know where to start? Whether you're a student, developer, or curious learner, this book takes you on a journey to master deep learning concepts, demystify neural networks, and transform your skills into real-world impact—all at your own pace.
-
5 out of 5 stars
-
The Essentials of AI
- De HSNPUBLISHING en 04-15-25
De: Jordan Blake
-
AI and Machine Learning for on-Device Development (1st Edition)
- A Programmer's Guide
- De: Laurence Moroney
- Narrado por: Ray Greenley
- Duración: 9 h y 18 m
- Versión completa
-
General0 out of 5 stars 0
-
Narración:0 out of 5 stars 0
-
Historia0 out of 5 stars 0
AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.
De: Laurence Moroney