Books

A practical guide to fine-tuning Large Language Models (LLMs), offering both a high-level overview and detailed instructions on how to train these models for specific tasks.Get the paperback version here. Get the Kindle version here.

Transform your software creation process with AI Driven Development (AIDD). Learn to harness AI to generate programs, unlocking 10x - 20x productivity gains while building components, tests, and documentation. Written for software engineers, product managers, code conjurers and aspiring tinkerers, this book teaches you to express complex functional requirements using natural language with the precision of code, utilizing SudoLang - a language designed specifically for communicating ideas to AI language models. You'll learn to streamline your workflow, reduce code complexity, and craft more intelligent, responsive applications that adapt to user needs.Design and implement AI-powered applications using SudoLang, and any common programming language or framework. Examples will use JavaScript, Next.js, and React.

Learn how to build your own AI application step-by-step. A hands-on guide to AI development with local LLM inference

Unlock the power of AI with "LLM Essentials: A Busy Professional's Guide to Large Language Models." This concise guide demystifies the world of LLMs, offering practical insights for business leaders and innovators. Discover how to leverage these powerful models to transform customer service, streamline content creation, and uncover hidden insights in your data. From ethical considerations to cutting-edge techniques like multimodal LLMs, this book covers it all. With step-by-step guides and real-world examples, you'll learn to implement LLMs in your business, even with limited resources. Don't let the AI revolution pass you by. "LLM Essentials" is your roadmap to harnessing the future of language technology. Get ready to lead your organization into a new era of AI-driven success.

This is part 2 of my 3-part training guide on how to build self-driving cars from scratch. This guide is bundled with a repository containing simulations, python scripts, graphics, and other useful assets.

Discover the magic of AI with ease! "ChatGPT for the Layman: Practical Applications and Exercises for Everyday Use" demystifies AI with simple explanations, real-life uses, and hands-on exercises. Learn to draft emails, brainstorm ideas, and boost productivity effortlessly. Join the AI revolution and transform your daily life with ChatGPT today!

Unlock the power of linear algebra in your data science projects! "Linear Algebra Essentials for Data Scientists" dives into the key concepts driving data analysis and machine learning. With clear explanations, practical Python examples, and hands-on exercises, this book is your gateway to mastering the mathematical foundations of data science.

This book is a quick foray into the world of deep learning-based computer vision and abnormal equipment sound detection. The readers are introduced to the ease with which powerful equipment and product quality monitoring solutions can be built using sound and visual data.

JupyterLab, the latest iteration of the Jupyter Notebook, is a versatile tool for sharing code in an easily understandable format. Jupyter Notebooks can be emailed, put on GitHub, or run online. You may also add HTML, images, Markdown, videos, LaTeX, and custom MIME types to your Notebooks. Finally, Jupyter Notebooks support big data integration. JupyterLab 101 will get you up to speed on the newest user interface for Jupyter Notebooks and the other tools that JupyterLab supports. You now have a tabbed interface that you can use to edit multiple Notebooks at once.

This is part 1 of my 3-part training guide on how to build self-driving cars from scratch. This guide is bundled with a repository containing simulations, python scripts, graphics, and other useful assets . In this step-by-step guide, I’ll teach you how to make an app that you can use to create a simulation where cars learn how to drive autonom...

This book is meant to discover how the language Rust, which is known for being fast and safe, can work with the constantly changing field of machine learning, neural networks and deep learning. The datasets of COVID, CIFAR-10 and practical examples are meant to show how Rust's features can be used to solve problems that come up in machine learning.

This book provides a guided tour of ML techniques utilized in process industry for plant health management. Step-by-step instructions, supported with industrial-scale process datasets, show how to develop ML-based solutions for equipment condition monitoring, plantwide monitoring, and predictive maintenance solutions. Also available at Google Play 

Explore Python basics, AI integration for real-world application and the power of Python in AI with practical machine learning and deep learning techniques.

This book is a journey that takes you from the foundational basics to the advanced techniques, with real-world examples and datasets at every turn. What sets this book apart is its focus on the challenges and intricacies of building and fine-tuning neural networks. You'll learn to build these networks and also to make them efficient and effective.