
AI Engineering
Building Applications with Foundation Models
Failed to add items
Add to Cart failed.
Add to Wish List failed.
Remove from wishlist failed.
Adding to library failed
Follow podcast failed
Unfollow podcast failed
3 months free
Buy for $20.99
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrated by:
-
Edelyn Okano
-
By:
-
Chip Huyen
About this listen
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.
Listeners also enjoyed...
-
Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- By: Chip Huyen
- Narrated by: Kathleen Li
- Length: 15 hrs
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: Chip Huyen
-
Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- By: James Phoenix, Mike Taylor
- Narrated by: Mike Chamberlain
- Length: 11 hrs and 6 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: James Phoenix, and others
-
Generative AI on AWS
- Building Context-Aware Multimodal Reasoning Applications
- By: Shelbee Eigenbrode, Anje Barth
- Narrated by: Jennifer Walden
- Length: 10 hrs
- Unabridged
-
Overall
-
Performance
-
Story
Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.
By: Shelbee Eigenbrode, and others
-
Tidy First?
- A Personal Exercise in Empirical Software Design
- By: Kent Beck
- Narrated by: Stephen R. Thorne
- Length: 2 hrs and 41 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
-
-
do yourself a favor and skip the audio book
- By goranche on 04-30-25
By: Kent Beck
-
Building Microservices
- Designing Fine-Grained Systems
- By: Sam Newman
- Narrated by: Theodore O'Brien
- Length: 21 hrs and 12 mins
- Unabridged
-
Overall
-
Performance
-
Story
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
- By Anonymous User on 04-27-22
By: Sam Newman
-
Software Architecture: The Hard Parts
- Modern Trade-Off Analyses for Distributed Architectures
- By: Neal Ford, Mark Richards, Pramod Sadalage, and others
- Narrated by: Dena Dahilig
- Length: 12 hrs and 53 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
- By Alex on 12-16-23
By: Neal Ford, and others
-
Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- By: Chip Huyen
- Narrated by: Kathleen Li
- Length: 15 hrs
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: Chip Huyen
-
Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- By: James Phoenix, Mike Taylor
- Narrated by: Mike Chamberlain
- Length: 11 hrs and 6 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: James Phoenix, and others
-
Generative AI on AWS
- Building Context-Aware Multimodal Reasoning Applications
- By: Shelbee Eigenbrode, Anje Barth
- Narrated by: Jennifer Walden
- Length: 10 hrs
- Unabridged
-
Overall
-
Performance
-
Story
Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.
By: Shelbee Eigenbrode, and others
-
Tidy First?
- A Personal Exercise in Empirical Software Design
- By: Kent Beck
- Narrated by: Stephen R. Thorne
- Length: 2 hrs and 41 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
-
-
do yourself a favor and skip the audio book
- By goranche on 04-30-25
By: Kent Beck
-
Building Microservices
- Designing Fine-Grained Systems
- By: Sam Newman
- Narrated by: Theodore O'Brien
- Length: 21 hrs and 12 mins
- Unabridged
-
Overall
-
Performance
-
Story
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
- By Anonymous User on 04-27-22
By: Sam Newman
-
Software Architecture: The Hard Parts
- Modern Trade-Off Analyses for Distributed Architectures
- By: Neal Ford, Mark Richards, Pramod Sadalage, and others
- Narrated by: Dena Dahilig
- Length: 12 hrs and 53 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
- By Alex on 12-16-23
By: Neal Ford, and others
-
The AI-Driven Leader
- Harnessing AI to Make Faster, Smarter Decisions
- By: Geoff Woods
- Narrated by: Geoff Woods
- Length: 6 hrs and 38 mins
- Unabridged
-
Overall
-
Performance
-
Story
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!
- By Kaylee Richard on 03-24-25
By: Geoff Woods
-
Software Engineering at Google
- Lessons Learned from Programming Over Time
- By: Titus Winters, Tom Manshreck, Hyrum Wright
- Narrated by: Mark Sando
- Length: 23 hrs and 36 mins
- Unabridged
-
Overall
-
Performance
-
Story
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
- By Andreas Andersen on 07-21-21
By: Titus Winters, and others
-
Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- By: Alex Petrov
- Narrated by: Mike Chamberlain
- Length: 12 hrs and 51 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
- By Michael Marcin on 12-18-23
By: Alex Petrov
-
The Engineering Executive's Primer
- Impactful Technical Leadership
- By: Will Larson
- Narrated by: Al Kessel
- Length: 11 hrs and 56 mins
- Unabridged
-
Overall
-
Performance
-
Story
In this book, author Will Larson shows you ways to obtain your first executive job and quickly ramp up to meet the challenges you may not have encountered in non-executive roles: measuring engineering for both engineers and the CEO, company-scoped headcount planning, communicating successfully across a growing organization, and figuring out what people actually mean when they keep asking for a "technology strategy."
-
-
An insight into the responsibilities of CTOs
- By Voytek on 12-26-24
By: Will Larson
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- By: Laurence Moroney
- Narrated by: Timothy Howard Jackson
- Length: 9 hrs and 17 mins
- Unabridged
-
Overall
-
Performance
-
Story
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!
- By Luc on 08-11-23
By: Laurence Moroney
-
AI Snake Oil
- What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
- By: Sayash Kapoor, Arvind Narayanan
- Narrated by: Landon Woodson
- Length: 9 hrs and 58 mins
- Unabridged
-
Overall
-
Performance
-
Story
Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.
-
-
Mediocre
- By Amazon Customer on 05-20-25
By: Sayash Kapoor, and others
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- By: Joe Reis, Matt Housley
- Narrated by: Adam Verner
- Length: 17 hrs and 31 mins
- Unabridged
-
Overall
-
Performance
-
Story
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
- By LmL on 08-14-24
By: Joe Reis, and others
-
Designing Distributed Systems (2nd Edition)
- Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes
- By: Brendan Burns
- Narrated by: Tom Beyer
- Length: 8 hrs and 33 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: Brendan Burns
-
The Art of Leadership
- Small Things, Done Well
- By: Michael Lopp
- Narrated by: Joe Scalora
- Length: 5 hrs and 23 mins
- Unabridged
-
Overall
-
Performance
-
Story
Using stories from his time at Netscape, Apple, and Slack, Michael Lopp presents a series of small but compelling practices to help you build leadership skills. You’ll learn how to create teams that are highly productive, highly respected, and highly trusted. The essays in this book examine the practical skills Lopp learned from exceptional leaders - as a manager at Netscape, a senior manager and director at Apple, and an executive at Slack. You’ll learn how to apply these lessons to your own experience.
-
-
Worthwhile, sneaky insight, not dramatic
- By kurt on 02-27-25
By: Michael Lopp
-
The Great Mental Models
- General Thinking Concepts
- By: Shane Parrish
- Narrated by: Shane Parrish
- Length: 3 hrs and 23 mins
- Unabridged
-
Overall
-
Performance
-
Story
The Great Mental Models: General Thinking Concepts is the first book in The Great Mental Models series designed to upgrade your thinking with the best, most useful and powerful tools so you always have the right one on hand. This volume details nine of the most versatile all-purpose mental models you can use right away to improve your decision making, your productivity, and how clearly you see the world.
-
-
A dissapointing debut
- By Peter on 04-14-19
By: Shane Parrish
-
Clean Code
- A Handbook of Agile Software Craftsmanship
- By: Robert C. Martin
- Narrated by: Theodore O'Brien
- Length: 5 hrs and 49 mins
- Unabridged
-
Overall
-
Performance
-
Story
Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer - but only if you work at it.
-
-
Quick fix needed
- By R L on 05-06-21
By: Robert C. Martin
-
Superagency
- What Could Possibly Go Right with Our AI Future
- By: Reid Hoffman, Greg Beato
- Narrated by: Scott Wallace
- Length: 7 hrs and 57 mins
- Unabridged
-
Overall
-
Performance
-
Story
Superagency offers a roadmap for using AI inclusively and adaptively to improve our lives and create positive change. While acknowledging challenges like disinformation and potential job changes, the book focuses on AI’s immense potential to increase individual agency and create better outcomes for society as a whole. Imagine AI tutors personalizing education for each child, researchers rapidly discovering cures for diseases like Alzheimer's and cancer, and AI advisors empowering people to navigate complex systems and achieve their goals.
-
-
Reid & Greg See a positive future for AI & Humans
- By T. Gallina on 04-10-25
By: Reid Hoffman, and others
People who viewed this also viewed...
-
Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- By: Chip Huyen
- Narrated by: Kathleen Li
- Length: 15 hrs
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: Chip Huyen
-
Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- By: James Phoenix, Mike Taylor
- Narrated by: Mike Chamberlain
- Length: 11 hrs and 6 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: James Phoenix, and others
-
Build a Large Language Model (From Scratch)
- By: Sebastian Raschka
- Narrated by: Julie Brierley
- Length: 7 hrs and 40 mins
- Unabridged
-
Overall
-
Performance
-
Story
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
- By Senthil Manick on 05-12-25
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- By: Laurence Moroney
- Narrated by: Timothy Howard Jackson
- Length: 9 hrs and 17 mins
- Unabridged
-
Overall
-
Performance
-
Story
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!
- By Luc on 08-11-23
By: Laurence Moroney
-
LLMs in Production
- Engineering AI Applications
- By: Christopher Brousseau, Matt Sharp
- Narrated by: Christopher Kendrick
- Length: 16 hrs and 45 mins
- Unabridged
-
Overall
-
Performance
-
Story
Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.
By: Christopher Brousseau, and others
-
Hands-On Large Language Models
- Language Understanding and Generation
- By: Jay Alammar, Maarten Grootendorst
- Narrated by: Derek Shoales
- Length: 10 hrs
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: Jay Alammar, and others
-
Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- By: Chip Huyen
- Narrated by: Kathleen Li
- Length: 15 hrs
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: Chip Huyen
-
Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- By: James Phoenix, Mike Taylor
- Narrated by: Mike Chamberlain
- Length: 11 hrs and 6 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: James Phoenix, and others
-
Build a Large Language Model (From Scratch)
- By: Sebastian Raschka
- Narrated by: Julie Brierley
- Length: 7 hrs and 40 mins
- Unabridged
-
Overall
-
Performance
-
Story
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
- By Senthil Manick on 05-12-25
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- By: Laurence Moroney
- Narrated by: Timothy Howard Jackson
- Length: 9 hrs and 17 mins
- Unabridged
-
Overall
-
Performance
-
Story
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!
- By Luc on 08-11-23
By: Laurence Moroney
-
LLMs in Production
- Engineering AI Applications
- By: Christopher Brousseau, Matt Sharp
- Narrated by: Christopher Kendrick
- Length: 16 hrs and 45 mins
- Unabridged
-
Overall
-
Performance
-
Story
Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.
By: Christopher Brousseau, and others
-
Hands-On Large Language Models
- Language Understanding and Generation
- By: Jay Alammar, Maarten Grootendorst
- Narrated by: Derek Shoales
- Length: 10 hrs
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: Jay Alammar, and others
-
Agentic Artificial Intelligence
- Harnessing AI Agents to Reinvent Business, Work and Life
- By: Pascal Bornet, Jochen Wirtz, Thomas H. Davenport, and others
- Narrated by: Rory Young
- Length: 14 hrs and 42 mins
- Unabridged
-
Overall
-
Performance
-
Story
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
- By James Oravec on 05-09-25
By: Pascal Bornet, and others
-
Generative Deep Learning (2nd Edition)
- Teaching Machines to Paint, Write, Compose, and Play
- By: David Foster
- Narrated by: Mike Cooper
- Length: 11 hrs and 30 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: David Foster
-
AI Agents in Action
- By: Micheal Lanham
- Narrated by: Christopher Kendrick
- Length: 7 hrs and 58 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: Micheal Lanham
-
The Developer's Playbook for Large Language Model Security
- Building Secure AI Applications
- By: Steve Wilson
- Narrated by: Jonathan Yen
- Length: 8 hrs and 27 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: Steve Wilson
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- By: Joe Reis, Matt Housley
- Narrated by: Adam Verner
- Length: 17 hrs and 31 mins
- Unabridged
-
Overall
-
Performance
-
Story
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
- By LmL on 08-14-24
By: Joe Reis, and others
-
The Ultimate Generative AI Guidebook
- How Anyone Can Master Advanced AI Concepts and Practical Applications Stress-Free
- By: Jordan Blake
- Narrated by: Michael Robinson
- Length: 5 hrs and 2 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
-
-
Underwhelming
- By Vin on 04-06-25
By: Jordan Blake
-
Building AI-Powered Products
- The Essential Guide to AI and GenAI Product Management
- By: Dr. Marily Nika
- Narrated by: Cara Firestone
- Length: 6 hrs
- Unabridged
-
Overall
-
Performance
-
Story
Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points.
By: Dr. Marily Nika
-
The ChatGPT Blueprint for Online Wealth: Become a Millionaire Easily with Artificial Intelligence
- By: Benjamin Stone
- Narrated by: Virtual Voice
- Length: 46 mins
- Unabridged
-
Overall
-
Performance
-
Story
Financial Freedom and Becoming a Millionaire Using Artificial Intelligence. Why You Can't Afford to Miss This Book Comprehensive and Updated: Authored by Benjamin Stone, this guide provides you with the most current and comprehensive information on ChatGPT, updated for GPT-4. From Novice to Pro: Whether you're a beginner in the world of AI, a nonfiction author, or a seasoned expert, this blueprint is designed to take your skills and income to the next level. Skyrocket Your Productivity: Learn how to harness the power of ChatGPT to complete projects at unprecedented speeds, whether you're ...
-
-
Become a millionaire by using 4 chatgpt prompts
- By Tom Plantan on 11-13-24
By: Benjamin Stone
-
AI Superpowers
- China, Silicon Valley, and the New World Order
- By: Kai-Fu Lee
- Narrated by: Mikael Naramore
- Length: 9 hrs and 28 mins
- Unabridged
-
Overall
-
Performance
-
Story
In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.
-
-
Compelled to listen at 2x speed
- By LEE on 09-26-18
By: Kai-Fu Lee
-
Data Engineering Design Patterns
- Recipes for Solving the Most Common Data Engineering Problems
- By: Bartosz Konieczny
- Narrated by: Charles Constant
- Length: 11 hrs and 15 mins
- Unabridged
-
Overall
-
Performance
-
Story
Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more.
-
Designing Distributed Systems (2nd Edition)
- Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes
- By: Brendan Burns
- Narrated by: Tom Beyer
- Length: 8 hrs and 33 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
By: Brendan Burns
-
Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- By: Martin Kleppmann
- Narrated by: Benjamin Lange
- Length: 20 hrs and 56 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
-
-
Must read for senior+ software engineers
- By Navid v on 05-29-21
By: Martin Kleppmann