Видавець: 8
AI-gent. Mroczne kody (#3). Artefakt
W.P. Rdzanek
Myślisz, że era programowania zaczęła się w XX wieku? A co, jeśli pierwszy kod powstał tysiące lat temu i dziś okazuje się groźniejszy niż najbardziej zjadliwy wirus? Ostatni tom trylogii AI-gent. Mroczne kody Marta, doktorantka archeologii, potajemnie wynosi z muzeum w Elblągu gocką bransoletę. Wkrótce potem policja znajduje na brzegu Wisły jej nagie ciało pokryte nordyckimi runami. Okazuje się też, że nie ona jedyna padła ofiarą tajemniczego rytuału. Artefakt ginie bez śladu. Kilka dni później padają systemy bankowe, a z kont klientów znikają miliony. Północnokoreański szpieg powraca, by definitywnie zemścić się na Karolu Koppelu. Gdy ostatni element pradawnego kodu zostanie uruchomiony, świat, który znasz, przepadnie.
AI-gent. Mroczne kody (#3). Artefakt
W.P. Rdzanek
Myślisz, że era programowania zaczęła się w XX wieku? A co, jeśli pierwszy kod powstał tysiące lat temu i dziś okazuje się groźniejszy niż najbardziej zjadliwy wirus? Ostatni tom trylogii AI-gent. Mroczne kody Marta, doktorantka archeologii, potajemnie wynosi z muzeum w Elblągu gocką bransoletę. Wkrótce potem policja znajduje na brzegu Wisły jej nagie ciało pokryte nordyckimi runami. Okazuje się też, że nie ona jedyna padła ofiarą tajemniczego rytuału. Artefakt ginie bez śladu. Kilka dni później padają systemy bankowe, a z kont klientów znikają miliony. Północnokoreański szpieg powraca, by definitywnie zemścić się na Karolu Koppelu. Gdy ostatni element pradawnego kodu zostanie uruchomiony, świat, który znasz, przepadnie.
Robert W. Chambers
This book is one of the most popular novels by Robert William Chambers and has been translated into several other languages around the world. No history of the 3rd Zouave or 8th Lancers has ever been written except in this narrative; and historians and veterans alike would look in vain for any record of these two regimentsregiments that could have been, but never were.
AI-Native LLM Security. Threats, defenses, and best practices for building safe and trustworthy AI
Vaibhav Malik, Ken Huang, Ads Dawson
Adversarial AI attacks present a unique set of security challenges, exploiting the very foundation of how AI learns. This book explores these threats in depth, equipping cybersecurity professionals with the tools needed to secure generative AI and LLM applications. Rather than skimming the surface of emerging risks, it focuses on practical strategies, industry standards, and recent research to build a robust defense framework.Structured around actionable insights, the chapters introduce a secure-by-design methodology, integrating threat modeling and MLSecOps practices to fortify AI systems. You’ll discover how to leverage established taxonomies from OWASP, NIST, and MITRE to identify and mitigate vulnerabilities. Through real-world examples, the book highlights best practices for incorporating security controls into AI development life cycles, covering key areas such as CI/CD, MLOps, and open-access LLMs.Built on the expertise of its co-authors—pioneers in the OWASP Top 10 for LLM applications—this guide also addresses the ethical implications of AI security, contributing to the broader conversation on trustworthy AI. By the end of this book, you’ll be able to develop, deploy, and secure AI technologies with confidence and clarity.*Email sign-up and proof of purchase required
AI-Powered Commerce. Building the products and services of the future with Commerce.AI
Andy Pandharikar, Frederik Bussler
Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must.Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends.By the end of this artificial intelligence book, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions.
AI-Powered Commerce. Building the products and services of the future with Commerce.AI
Andy Pandharikar, Frederik Bussler
Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must.Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends.By the end of this artificial intelligence audiobook, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions.
Abhijit Dey, Srinivasan Shanmuganathan, David Roldán Martínez
In today’s FinTech landscape, AI is no longer optional, it’s non-negotiable. And it’s not here to replace product managers, but to enhance their skills and amplify their impact. This book is a comprehensive guide for product managers and FinTech innovators looking to harness generative AI and LLMs in financial services. As the industry moves beyond traditional apps into AI-driven platforms, this book offers a practical blueprint for building trust and driving innovation in a rapidly evolving landscape shaped by generative AI.Unlike other FinTech books that lean towards theory, this guide provides actionable, real-world insights. It covers foundational AI-first principles, offers deep dives into key FinTech verticals through success-and-failure case studies, and explores platform scaling and agentic AI. Each chapter centers on real scenarios including a FinTech startup case study to illustrate frameworks and best practices. You’ll learn to integrate AI responsibly, navigate regulatory hurdles, and design customer-centric, data-driven financial products. You’ll equip yourself with the practical tools and templates to confidently innovate within regulatory boundaries.By the end, you’ll be ready to design and scale AI-driven financial products, positioning yourself as a forward-thinking product leader in the AI-first FinTech era.
Paweł Loroch
Pierwsza w Polsce książka z przepisami do Air Fryera. Sto autorskich pomysłów na wyjątkowe i łatwe do przygotowania dania znanego dziennikarza kulinarnego Pawła Lorocha, opatrzonych pięknymi zdjęciami, zabawnymi anegdotami i grafikami autora. Niepowtarzalne poczucie humoru, pasja gotowania wyniesiona do rangi sztuki. Nie tylko mięsa...