
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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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
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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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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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Wonderful audio textbook!
- De Howard_a en 11-02-21
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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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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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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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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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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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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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Absolutely not suitable for audio
- De Actionwatcher en 08-15-23
De: Eli Stevens, 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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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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Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
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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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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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I can't believe this exists as an audiobook.
- De Michael Marcin en 12-18-23
De: Alex Petrov
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Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- De: Alexey Grigorev
- Narrado por: Adam Newmark
- Duración: 8 h y 49 m
- Versión completa
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In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
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Good but I mixed ebook + audio book
- De JUAN CARLOS MARTINEZ LOERA en 10-27-24
De: Alexey Grigorev
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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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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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Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
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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
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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
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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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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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Great content. Terrible narration.
- De Alex en 12-16-23
De: Neal Ford, y otros
Hard to follow when every other sentence “see code”. Some books don’t convey well in audio
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Expensive for the content
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Really hard to follow when everything is see code
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Don’t waste your money on the Audible version
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