اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
2 544
مشترکین
اطلاعاتی وجود ندارد24 ساعت
اطلاعاتی وجود ندارد7 روز
-430 روز
آرشیو پست ها
2 543
Dissecting the Dark Web: Reverse Engineering the Tools of the Underground Economy 2026
Автор: Lindsay Kaye
The dark web has a marketplace. This is what's for sale.
Getting into the dark web isn’t simple. You need Tor. You need clean OPSEC. And even then, the forums worth being in don’t just let you walk through the door. The top-tier ones require vouches from established members, Bitcoin deposits, proof that you’re somebody.
In 2021, Lindsay Kaye was among the first to reverse engineer and publicly disclose a new ransomware variant. She did it before the group behind it, BlackMatter, had even started operations. How? She found it by watching the dark web forums where the group was quietly recruiting affiliates.2 543
Codex CLI: Agentic Engineering from First Principles 2026
Автор: Daniel Vaughan
The definitive guide to agentic software engineering with Codex CLI, from prompting fundamentals to multi-agent orchestration, CI/CD integration, and enterprise deployment across 32 hands-on chapters.
Codex CLI is the most comprehensive guide to agentic software engineering with OpenAI's command-line coding agent. Across 32 chapters, you'll move from first principles to advanced orchestration patterns — covering prompting, AGENTS.md configuration, MCP servers, hooks, skills, sub-agents, worktrees, CI/CD integration, security hardening, and enterprise deployment.
Whether you're a solo developer looking to multiply your output or an engineering lead rolling out agentic workflows across a team, this book gives you the mental models and practical techniques to work effectively with AI coding agents.2 543
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications (Final Release) 2026
Автор: Ofer Mendelevitch
Retrieval-augmented generation (RAG) is the go-to strategy for integrating large language models with your organization's unique knowledge. However, the market is full of RAG pipelines and components, making it hard to choose the right solution for your enterprise's needs. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications.2 543
Hands-On LLM Serving and Optimization: Hosting LLMs at Scale (Final Release) 2026
Автор: Chi Wang
Large language models (LLMs) are rapidly becoming the backbone of AI-driven applications. Without proper optimization, however, LLMs can be expensive to run, slow to serve, and prone to performance bottlenecks. As the demand for real-time AI applications grows, along comes Hands-On Serving and Optimizing LLM Models, a comprehensive guide to the complexities of deploying and optimizing LLMs at scale.
In this hands-on book, authors Chi Wang and Peiheng Hu take a real-world approach backed by practical examples and code, and assemble essential strategies for designing robust infrastructures that are equal to the demands of modern AI applications. Whether you're building high-performance AI systems or looking to enhance your knowledge of LLM optimization, this indispensable book will serve as a pillar of your success.2 543
Practical AI Security: A Hands-on Guide to Attacking, Defending, and Securing Modern AI Systems 2026
Автор: Harriet Farlow
Break AI Systems. Then Secure Them.
If you’re a security practitioner learning to operate in AI environments, or an ML engineer who needs to understand what adversaries actually do, Practical AI Security gives you the technical foundation the field demands.
Built from first principles, this book takes you from how models fail to how they’re exploited to how they’re defended and audited. Every technique includes clear explanations and real-world examples, and you can run the attacks and defenses yourself with over 30 hands-on Python demos.2 543
CISO: Evolution of a Vocation: Confessions of a Recovering CISO 2026
Ron Baklarz
This book comprises three levels. The first level shares the author’s personal journey, beginning as a homeless college dropout and culminating in over thirty years of service as a CISO and in CISO‑equivalent roles at some of America’s most iconic companies and organizations. Drawing on experience and discipline gained from military contracting work, the author maintained a letter log system to manage the commitments and document the issues he faced. He also kept digital copies of over 1,000 memorandums issued during his later CISO roles. Through excerpts from selected memos, readers gain an unprecedented view into the cybersecurity challenges he confronted as CISO. Each chapter includes “Lessons Learned,” providing readers with the benefits of the author’s life lessons and cybersecurity experiences. Where warranted, the author recognizes his “All Star” team members whom he had the privilege of working with.2 543
Learning AutoML: Automating ML Pipelines with Autogluon, Leading Frameworks, and Real-World Integration 2026
Автор: Kerem Tomak
Learning AutoML is your practical guide to applying automated machine learning in real-world environments. Whether you're a data scientist, ML engineer, or AI researcher, this book helps you move beyond experimentation to build and deploy high-performing models with less manual tuning and more automation. Using AutoGluon as a primary toolkit, you'll learn how to build, evaluate, and deploy AutoML models that reduce complexity and accelerate innovation.
Author shares insights on how to integrate models into end-to-end deployment workflows using popular tools like Kubeflow, MLflow, and Airflow, while exploring cross-platform approaches with Vertex AI, SageMaker Autopilot, Azure AutoML, Auto-sklearn, and H2O.ai. Real-world case studies highlight applications across finance, healthcare, and retail, while chapters on ethics, governance, and agentic AI help future-proof your knowledge.2 543
Total Typescript: The essentials 2026
Автор: Matt Pocock
A no-nonsense guide to all the essentials you’ll need to become a TypeScript wizard and build a TypeScript application from scratch.
TypeScript makes jаvascript safer and your editor smarter. Matt Pocock’s Total TypeScript courses have trained thousands of developers by putting the editor first: You learn types by watching what TypeScript tells you, not by memorizing rules. This book brings that method to print.
You’ll start by setting up a proper TypeScript environment, then immediately begin writing and annotating code. Each chapter builds on the last—primitive types to unions, objects to classes, basic generics to type transformations—with exercises woven throughout as checkpoints, not afterthoughts.2 543
Advanced Snowflake: Processing Data, Developing Applications, and Deploying ML Models at Scale 2026
Автор: Muhammad Fasih Ullah
As Snowflake's capabilities expand, staying updated with its latest features and functionalities can be overwhelming. The platform's rapid development gave rise to advanced tools like Snowpark and the Native App Framework, which are crucial for optimizing data operations but may seem complex to navigate.
In this essential book, author Muhammad Fasih Ullah offers a detailed guide to understanding these sophisticated tools, ensuring you can leverage the full potential of Snowflake for data processing, application development, and deploying machine learning models at scale. You'll gain actionable insights and structured examples to transform your understanding and skills in handling advanced data scenarios within Snowflake. By the end of this book, you will:2 543
AI-Native Software Delivery: Proven Practices to Produce High-Quality Software Faster 2025
Автор: Nick Durkin
AI coding assistants are helping teams create software faster than ever. But to turn that speed into real innovation, organizations must go beyond writing code and deliver software quickly, securely, and reliably.
While AI-assisted coding is now mainstream, what happens after the code is written is still catching up. AI-Native Software Delivery is your practical guide to applying AI across the entire delivery lifecycle, from commit to production and beyond.
Written for software engineers, DevOps leaders, and tech executives, this book explores how leading teams are using AI to streamline CI/CD, manage cloud costs, strengthen security, and eliminate operational toil. The book also uncovers the risks of brittle automation and shows you how to avoid building systems that don't scale.