Language Technology

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.

Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.

Drs. Barbara Oakley and Terrence Sejnowski's popular Online course Learning How to Learn, has enrolled more than 1.8 million students. In this much needed follow-up to A Mind for Numbers, the authors teach kids and teens how to learn effectively at a time when they most need these skills. Learning How to Learn teaches them about the importance of both focused concentration and letting their minds wander, how the brain makes connections between different pieces of information, why procrastination is the enemy of problem solving, and much more.

Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.

30 Days to a More Powerful Vocabulary quickly became a bestseller in its category back in 2015. Now, in this updated and revised edition—which now contains the 700 most important words you need to master—you'll quickly learn why this title has been such a positive impact in the personal and professional lives of tens of thousands in the English-speaking world.

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.

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 shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

This book is for programmers who want to learn JavaScript and for web developers who want to take their understanding and mastery to the next level. It begins by explaining the JavaScript language itself, in detail, from the bottom up. It then builds on that foundation to cover the web platform and Node.js.

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.

Artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past.

The Python-Based Laboratory: A Hands-On Guide for Scientists and Engineers provides a learn-by-doing approach to acquiring the Python programming skills needed to implement computer-controlled experimental work.

From hospital and police codes to Cockney slang, spoken codes can be both helpful and entertaining. Learn the history behind some of today’s most useful and popular codes, and then have fun creating a language all your own.

Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.

In Understanding Software, Max Kanat-Alexander, Technical Lead for Code Health at Google, shows you how to bring simplicity back to computer programming. Max explains to you why programmers suck, and how to suck less as a programmer. There's just too much complex stuff in the world. Complex stuff can't be used, and it breaks too easily. Complexity is stupid. Simplicity is smart.

While most programs on public speaking focus on a polished presentation and overcoming fear, Larsen's holistic blend of spirit and logic goes far beyond the standard format, making Transformational Speaking a must listen for even the most seasoned speechmakers. With her uniquely inspirational approach, Larsen reaches out to those who want to make a genuine difference in our world by changing minds through changing hearts.

The Future of Language distinguishes myth from reality and superstition from scientifically based prediction as it plots out the importance of language and raises questions about its future. From the rise of artificial intelligence and speaking robots, to brain implants and computer-facilitated telepathy, language and communications expert Philip Seargeant surveys the development of new digital ‘languages’ and investigates how conventions of spoken and written language are being modified by new trends in communication.

Demystifying IT has been hailed as the one book about information technology that leaders of midsized companies should listen to. Given the importance of IT in today’s world, it might also be the most timely and valuable business book of any kind to be published recently. The co-authors are masters of leveraging IT for creating sustainable competitive advantages for businesses. They’ve been at it for decades, solving problems that defied other experts, and leading digitization projects which have boosted client companies into new realms of growth and profit.

Python ist die ideale Programmiersprache, um Programmieren zu lernen. Die Sprache ist sowohl sehr simpel als auch vielseitig einsetzbar. Das macht Python zu einer der populärsten Programmiersprachen überhaupt. Zu Beginn lernst du die Grundlagen der Programmiersprache Python, also Datentypen, Variablen, Kontrollstukturen, Schleifen und Funktionen.

Audiokurs pomozhet uchashhimsja v osvoenii neobhodimogo materiala po kursu fiziki v 10 klasse obshheobrazovatel'noj shkoly. Vazhnoj temoj audiokursa javljaetsja razdel «Mehanika», vkljuchajushhaja dinamiku vrashhenija tverdogo tela, osnovy molekuljarno-kineticheskoj teorii i termodinamiki, elektrodinamiki i elektronnoj teorii.

Друзья! Мы представляем вашему вниманию не просто учебное пособие, это настоящий курс живого английского языка, основанный на реальных жизненных ситуациях! Забудьте о скучных учебниках, где вам предлагали повторять за диктором.