Build a Large Language Model (From Scratch)
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Build a Large Language Model (From Scratch)
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Narrado por:
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Julie Brierley
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Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!
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.
This book teaches you how to:
+ Plan and code all the parts of an LLM
+ Prepare a dataset suitable for LLM training
+ Fine-tune LLMs for text classification and with your own data+ Use human feedback to ensure your LLM follows instructions
+ Load pretrained weights into an LLMBuild a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI.
As you work through each key stage of LLM creation, you’ll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant.
About the book: This is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you’ll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you’ll really understand it because you built it yourself!
About the listener: Listeners need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs.
About the author: Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Historia4 out of 5 stars 8
Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.
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1 out of 5 stars
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Don't Waste Your Money on the Audio Version
- De wayne kurtz en 12-11-23
De: Hobson Lane, y otros
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AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
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General4.5 out of 5 stars 25
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Narración:4.5 out of 5 stars 19
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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.
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5 out of 5 stars
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
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Large Language Model-Based Solutions
- How to Deliver Value with Cost-Effective Generative AI Applications
- De: Shreyas Subramanian
- Narrado por: Daniel Henning
- Duración: 11 h y 42 m
- Versión completa
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General5 out of 5 stars 1
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Narración:5 out of 5 stars 1
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Historia5 out of 5 stars 1
In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning.
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LLMs in Production
- Engineering AI Applications
- De: Christopher Brousseau, Matt Sharp
- Narrado por: Christopher Kendrick
- Duración: 16 h y 45 m
- Versión completa
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
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.
De: Christopher Brousseau, y otros
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Advanced Algorithms and Data Structures
- De: Marcello La Rocca
- Narrado por: Julie Brierley
- Duración: 23 h y 32 m
- Versión completa
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General4 out of 5 stars 12
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Narración:4 out of 5 stars 9
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Historia4 out of 5 stars 9
As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.
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5 out of 5 stars
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Wonderful audio textbook!
- De Howard_a en 11-02-21
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Deep Learning with PyTorch
- Build, Train, and Tune Neural Networks Using Python Tools
- De: Eli Stevens, Luca Antiga, Thomas Viehmann
- Narrado por: Mark Thomas
- Duración: 15 h y 26 m
- Versión completa
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General1 out of 5 stars 2
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Narración:4 out of 5 stars 2
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Historia1 out of 5 stars 2
There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.
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1 out of 5 stars
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Absolutely not suitable for audio
- De Actionwatcher en 08-15-23
De: Eli Stevens, y otros
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AI at the Edge
- Solving Real-World Problems with Embedded Machine Learning
- De: Daniel Situnayake, Jenny Plunkett
- Narrado por: Suzie Althens
- Duración: 17 h y 17 m
- Versión completa
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General4 out of 5 stars 4
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Narración:5 out of 5 stars 3
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Historia5 out of 5 stars 3
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.
De: Daniel Situnayake, y otros
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Deep Learning with Python
- De: Francois Chollet
- Narrado por: Mark Thomas
- Duración: 9 h y 55 m
- Versión completa
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General4.5 out of 5 stars 50
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Narración:5 out of 5 stars 44
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Historia4.5 out of 5 stars 43
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
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4 out of 5 stars
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Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
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Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- De: Chip Huyen
- Narrado por: Kathleen Li
- Duración: 15 h
- Versión completa
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.
De: Chip Huyen
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Software Architecture: The Hard Parts
- Modern Trade-Off Analyses for Distributed Architectures
- De: Neal Ford, Mark Richards, Pramod Sadalage, y otros
- Narrado por: Dena Dahilig
- Duración: 12 h y 53 m
- Versión completa
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General4 out of 5 stars 17
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Narración:4.5 out of 5 stars 14
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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.
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3 out of 5 stars
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Great content. Terrible narration.
- De Alex en 12-16-23
De: Neal Ford, y otros
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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
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General4.5 out of 5 stars 38
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Narración:4.5 out of 5 stars 33
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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.
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5 out of 5 stars
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Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
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Grokking Machine Learning
- De: Luis Serrano
- Narrado por: Marianne Sheehan
- Duración: 15 h y 1 m
- Versión completa
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General2 out of 5 stars 2
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Narración:2 out of 5 stars 2
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Historia2 out of 5 stars 2
Discover valuable machine learning techniques you can understand and apply using just high school math. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.
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1 out of 5 stars
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Bad as an audiobook
- De Amazon Customer en 04-05-24
De: Luis Serrano
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API Design Patterns
- De: JJ Geewax
- Narrado por: Sarah Dawe
- Duración: 16 h y 34 m
- Versión completa
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General4 out of 5 stars 5
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Narración:3 out of 5 stars 5
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Historia4 out of 5 stars 5
API Design Patterns lays out a set of design principles for building internal and public-facing APIs. Google API expert JJ Geewax presents patterns that ensure your APIs are consistent, scalable, and flexible. You’ll improve the design of the most common APIs, plus discover techniques for tricky edge cases. Relevant examples and detailed scenarios make every pattern clear and easy to understand.
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3 out of 5 stars
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Narration is unbearable
- De JC en 11-13-22
De: JJ Geewax
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Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- De: Alex Petrov
- Narrado por: Mike Chamberlain
- Duración: 12 h y 51 m
- Versión completa
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General4 out of 5 stars 6
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Narración:5 out of 5 stars 5
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Historia3.5 out of 5 stars 5
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
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5 out of 5 stars
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I can't believe this exists as an audiobook.
- De Michael Marcin en 12-18-23
De: Alex Petrov
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Why Machines Learn
- The Elegant Math Behind Modern AI
- De: Anil Ananthaswamy
- Narrado por: Rene Ruiz
- Duración: 13 h y 30 m
- Versión completa
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General4.5 out of 5 stars 27
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Narración:4.5 out of 5 stars 26
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Historia4.5 out of 5 stars 26
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.
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5 out of 5 stars
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A great listen, but a physical book is pre appropriate
- De Sameer D. en 11-07-24
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Grokking Algorithms
- De: Aditya Bhargava
- Narrado por: Derek Lettman
- Duración: 3 h y 46 m
- Versión completa
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General4.5 out of 5 stars 129
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Narración:4.5 out of 5 stars 105
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Historia4 out of 5 stars 103
This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
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1 out of 5 stars
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the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
Lo que los oyentes dicen sobre Build a Large Language Model (From Scratch)
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Total3 out of 5 stars
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Ejecución3 out of 5 stars
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Historia2 out of 5 stars
- Michael Little
- 03-13-25
Hard to follow when every other sentence “see code”. Some books don’t convey well in audio
Expressionless voice. Badly edited and hard to follow when involves code inspection. This didn’t work
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Total1 out of 5 stars
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Ejecución1 out of 5 stars
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Historia1 out of 5 stars
- z4 Jones
- 02-25-25
Don’t waste your money on the Audible version
The Audible version is a total waste of time and money. It is nearly incomprehensible.
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