Showing results for "matt sharp"
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LLMs in Production
Engineering AI Applications
2025
EN
Goes beyond academic discussions deeply into the applications layer of Foundation Models.This practical book offers clear, example-rich explanations of how LLMs work, how you can interact with them, and how to integrate LLMs into your own applications. Find out what makes LLMs so different from traditional software and ML, discover best practices for working with them out of the lab, and dodge common pitfalls with experienced advice.This book complements Se...
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Pragmatic Programmer, The
Your journey to mastery, 20th Anniversary Edition
2019
EN
“One of the most significant books in my life.” –Obie Fernandez, Author, The Rails Way“Twenty years ago, the first edition of The Pragmatic Programmer completely changed the trajectory of my career. This new edition could do the same for yours.” –Mike Cohn, Author of Succeeding with Agile , Agile Estimating and Planning , and User Stories Applied“. . . filled with practical advice, both technical and professional, that will s...
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- Robert C. Martin Series
2011
EN
The Robert C. Martin Clean Code Collection consists of two bestselling eBooks:Clean Code: A Handbook of Agile Software CraftmanshipThe Clean Coder: A Code of Conduct for Professional ProgrammersIn Clean Code, legendary software expert Robert C. 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...
2024
EN
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 g...
Generative AI with LangChain
Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
2023
EN
2024 Edition – Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. The 2024 edition features updated code examples and an improved GitHub repository. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesLearn how to leverage LangChain to work around LLMs’ inherent weaknessesDelve into LLMs with LangChain and explore their fundamentals, ethical dimensions...
2022
EN
Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.Transformers have been used to write realistic news stories, improve Google Search queries, and ...
Code That Fits in Your Head
Heuristics for Software Engineering
2021
EN
How to Reduce Code Complexity and Develop Software More Sustainably"Mark Seemann is well known for explaining complex concepts clearly and thoroughly. In this book he condenses his wide-ranging software development experience into a set of practical, pragmatic techniques for writing sustainable and human-friendly code. This book will be a must-read for every programmer."-- Scott Wlaschin, author of Domain Modeling Made Functional
Prompt Engineering for LLMs
The Art and Science of Building Large Language Model–Based Applications
2024
EN
Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to unlock new potential in almost every domain, but reliably accessing these capabilities requires new skills. This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs.Industry experts John Berryman and Albert Ziegler share how ...
Building LLM Powered Applications
Create intelligent apps and agents with large language models
2024
EN
Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applications Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesEmbed LLMs into real-world applicationsUse LangChain to orchestrate LLMs and their components within applicationsGrasp basic and advanced techniques of prompt engineeringBook DescriptionBuilding LLM Powered Applications del...
2021
EN
Unlock the groundbreaking advances of deep learning with this extensively revised edition of the bestselling original. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world.In Deep Learning with Python, Second Edition you will learn:Deep learning from first principlesImage classification & image segmentationTimeseries forecastingText classification...
Building AI Agents with LLMs, RAG, and Knowledge Graphs
A practical guide to autonomous and modern AI agents
2025
EN
Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously DRM-free PDF version + access to Packt's next-gen ReaderKey FeaturesImplement RAG and knowledge graphs for advanced problem-solvingLeverage innovative approaches like LangChain to create real-world intelligent systemsIntegrate large language models, gr...
Grokking Simplicity
Taming complex software with functional thinking
2021
EN
"The most insightful and intuitive guide to clean and simple software. I recommend this to all software developers." - Rob Pacheco, Vision Government SolutionsGrokking Simplicity is a friendly, practical guide that will change the way you approach software design and development.Distributed across servers, difficult to test, and resistant to modification—modern software is complex. Grokking Simplicity is a friendly, practical guid...











