Resources   No resource found

• Data-Centric Multi-Agent RAG: Modeling Products, Users, and Context in LangGraph & ChromaDBAug 11, 2026. Build intelligent enterprise AI by modeling products, users, and context distinctly in LangGraph & ChromaDB for superior recommendations.
• Building Cross-System Business Intelligence Agents with MCPAug 12, 2026. Build cross-system BI agents with MCP. Discover data, invoke tools, and ensure data provenance for reliable AI-driven insights.
• MLOps Essentials: Model Development and IntegrationAug 10, 2026. Master MLOps for scalable, reliable ML. Learn data processing, continuous training, experiment tracking, and model integration for production-ready systems.
• Node.js 26 Permission Models for Secure Build PipelinesAug 11, 2026. Secure Node.js 26 build pipelines with the Permission Model. Apply least privilege, restrict resource access, and enhance CI/CD security.
• Building GTK 4 Desktop Apps in C#Aug 08, 2026. Build cross-platform desktop apps in C# with GTK 4 and GtkSharp. Explore native UI development for Linux, Windows, and macOS.
• Implementing AI Model Rollback Strategies in Production SystemsAug 06, 2026. Master AI model rollback strategies for production systems. Ensure resilience with versioning, gradual deployments, monitoring, and automated recovery.
• Architecture of Artificial IntelligenceAug 06, 2026. Explore the AI architecture: input, processing, decision-making, output, and continuous learning. Key for modern AI like ChatGPT.
• Building Prompt-Routed Workflow Selection with Azure AI Foundry Model Router and Microsoft Agent Framework for GraphRAGAug 04, 2026. Build deterministic, observable, and resilient prompt-routed workflows with Azure AI Foundry Model Router and Microsoft Agent Framework for robust orchestration.
• Benchmarking Embedding Models for Enterprise Semantic Search ApplicationsAug 04, 2026. Benchmark embedding models for enterprise semantic search & RAG. Optimize accuracy, latency, and cost with a .NET framework.
• Semantic Kernel Plugins vs Model Context Protocol: Choosing the Right Integration StrategyAug 03, 2026. Choosing between Semantic Kernel Plugins and MCP for AI integration? Learn their differences, strengths, and when to use each for robust enterprise AI applications.
• The Hidden Architecture of Power BI Publishing ExplainedAug 01, 2026. Uncover the hidden Power BI publishing process: from PBIX upload to cloud asset separation, semantic models, and secure data.
• From Excel Power Pivot to Power BI: When Is It Time to Make the Move?Aug 01, 2026. Learn when to upgrade from Excel Power Pivot to Power BI for scalable, collaborative, and real-time business intelligence. Extend your analytics.
• Ultimate End-to-End Guide to TensorFlow: From Installation to Your First Deep Learning ModelAug 01, 2026. Master TensorFlow from installation to building your first deep learning model with this comprehensive end-to-end guide for Windows and VS Code.
• What is MCP (Model Context Protocol)?Jul 30, 2026. MCP (Model Context Protocol) standardizes AI interaction with external systems, tools, and data for enhanced functionality and real-world task execution.
• Implementing Multi-Tenant SaaS Architecture in ASP.NET CoreJul 31, 2026. Implement secure and scalable multi-tenant SaaS in ASP.NET Core. Learn tenancy models, data isolation, and best practices for shared or separate databases.
• LLMs vs. Classical Models in Credit ScoringJul 30, 2026. LLMs enhance credit scoring by handling unstructured data, while classical models provide regulatory compliance and numerical accuracy. A hybrid approach ensures explainability and efficiency.
• LLMs vs Classical Models in a Deep Multi-Agent LangGraph Architecture with LLM GatewayJul 28, 2026. Hybrid LLM and classical ML architecture for enterprise AI, revolutionizing credit underwriting with RAG and multi-agent systems.
• Beyond Chatbots and Flowcharts: Why Gate2ASI AI’s AgentFactory Is a New Enterprise Execution ModelJul 28, 2026. Gate2ASI AI's AgentFactory redefines enterprise AI execution with a governed digital workforce, moving beyond chatbots for dependable business outcomes.
• Agentic AI System Design Explained: The Building Blocks Behind Real AI AgentsJul 27, 2026. Unlock the secrets of agentic AI system design: explore building blocks like model routing, tools, memory, orchestration, and production principles for reliable AI agents.
• Running Windows Forms Applications on Windows, Linux and macOS with Gtk.Windows.FormsJul 27, 2026. Run existing WinForms apps on Linux & macOS with Gtk.Windows.Forms. Reuse code, save time, and expand reach without UI rewrites.
• AI Governance and Autonomous AI Agent Governance: From Controlling Models to Governing Digital Actors - Human-in-the-Loop Is Not EnoughJul 26, 2026. AI governance evolves from model control to governing autonomous digital actors, emphasizing identity, authorization, and accountability for responsible operations.
• Understanding Entity Framework Core MigrationsJul 27, 2026. Master Entity Framework Core Migrations for seamless database schema management. Keep your database in sync with evolving C# models using the Code First approach.
• Building Local AI Applications with ONNX, Phi Models, and .NET 10Jul 24, 2026. Build fast, private local AI apps with ONNX, Phi models, and .NET. Achieve low latency, offline capabilities, and data control.
• Part 5: Evaluating and Deploying AIJul 21, 2026. A practical guide to evaluating AI models, avoiding misleading metrics, handling overfitting and bias, improving explainability, and preparing AI systems for real-world deployment.
• Blazor Hybrid Apps with .NET MAUIJul 22, 2026. Build native cross-platform apps with Blazor Hybrid & .NET MAUI. Reuse C#, Razor, HTML/CSS for Android, iOS, Windows, macOS. Boost development!
• What's New in C# 14: Features Every .NET Developer Should KnowJul 21, 2026. Discover C# 14's key features: enhanced collection expressions, pattern matching, null safety, and compiler optimizations for .NET developers.
• ONNX Runtime in .NET: Running AI Models Without Cloud APIsJul 21, 2026. Run AI models locally in .NET with ONNX Runtime. Achieve faster inference, better privacy, and lower costs without cloud APIs.
• Local AI in .NET MAUI: Running On-Device Models with ONNX RuntimeJul 20, 2026. Unlock Local AI in .NET MAUI! Run ONNX models on-device for faster, private, offline AI experiences across platforms.
• Power Apps component frameworkJul 20, 2026. Power Apps PCF controls: custom, reusable UI components for richer, interactive experiences in model-driven & canvas apps. Enhance Dataverse integration.
• Choosing Between Lakehouse and Warehouse in Microsoft Fabric: A Real-World Project WalkthroughJul 16, 2026. Reasons for choosing the lakehouse and warehouse in end to end fabric pipline
• Local LLMs with Ollama: Complete Setup and Integration GuideJul 16, 2026. Master local LLMs with Ollama! Setup, run, and integrate AI models like Llama and Mistral for privacy, cost savings, and offline access.
• Model Context Protocol (MCP) Explained: The Future of AI Tool IntegrationJul 16, 2026. Unlock AI's potential with Model Context Protocol (MCP)! Standardize tool integration for seamless, scalable, and secure AI applications.
• Part 4: The Neural Revolution And GenAIJul 16, 2026. A developer-friendly explanation of perceptrons, neural networks, deep learning, generative AI, large language models, next-token prediction, and diffusion models.
• GPT-5.6 Sol vs. Terra vs. Luna: What They Do and How to Choose the Best ModelJul 17, 2026. Learn what GPT-5.6 Sol, Terra, and Luna are, how they compare in capability, speed, pricing, availability, and use cases, and how to choose the right OpenAI model for your workload.
• Part3 - The Shift to Machine LearningJul 16, 2026. A practical explanation of how software engineering shifted from hand-written rules to machine learning systems that learn patterns from data.
• Model Context Protocol Registries Explained: Managing Enterprise MCP EcosystemsJul 16, 2026. Learn what Model Context Protocol (MCP) Registries are, how they work, and how enterprises use them to manage, secure, and scale AI tool ecosystems.
• SurrealDB Tutorial: Combining Relational, Document, and Graph DatabasesJul 16, 2026. Learn how SurrealDB combines relational, document, graph, and real-time database capabilities into a single platform for modern application development.
• What is Physical AI? Why the Next AI Revolution Will Move Beyond the ScreenJul 14, 2026. Discover what Physical AI is and how it combines AI, robotics, computer vision, sensors, and Large Language Models to enable intelligent machines that perceive, reason, and act in the real world. Explore key technologies, real-world applications, challenges, and the future of AI-powered robotics beyond screens.
• WebAssembly on the Server: Understanding WASI and Modern Runtime ModelsJul 15, 2026. Learn how WebAssembly and WASI enable secure, portable, and efficient server-side applications with modern runtime models for cloud-native and edge computing.
• Open Policy Agent (OPA) Tutorial: Implementing Policy as Code Across Cloud-Native SystemsJul 15, 2026. Learn Open Policy Agent (OPA) and Rego with practical examples. Implement Policy as Code for Kubernetes, cloud governance, authorization, and CI/CD security.
• Model Context Protocol (MCP) Explained for .NET DevelopersJul 14, 2026. Understand Model Context Protocol (MCP) for .NET developers. Standardize AI integrations with tools, databases, and APIs for scalable, secure applications.
• Enterprise Graph-RAG: Modeling Financial Risk Networks with Multi-Agent LangGraphJul 14, 2026. Enterprise Graph-RAG models financial risk networks with multi-agent LangGraph for real-time contagion and AML analysis.
• What Is Model Context Protocol (MCP) Registry? A Complete GuideJul 13, 2026. Discover the MCP Registry: a central hub for AI tools, simplifying discovery, management, and sharing of Model Context Protocol servers for robust AI applications.
• MCP Servers in Practice: Building Secure Tool Integrations for AI AgentsJul 13, 2026. Discover MCP Servers for secure AI agent tool integrations. Standardize, simplify, and enhance security for dynamic external system access.
• Model Context Protocol (MCP) Gateways Explained: Securing Enterprise AI IntegrationsJul 10, 2026. Secure your enterprise AI integrations with MCP Gateways. Learn how this protocol enforces security, governance, and control for AI access to your critical business systems.
• How to Build a Local AI Stack Using Ollama, Open WebUI, and DockerJul 10, 2026. Build a local AI stack with Ollama, Open WebUI, & Docker for private, secure, and cost-effective AI model deployment. Control your data and costs.
• Building AI-Powered Code Review Systems with GitHub ModelsJul 10, 2026. Enhance code quality & security with AI-powered reviews using GitHub Models. Automate checks, boost productivity, and accelerate delivery.
• How to Deploy Open-Source LLMs on Kubernetes Using KServeJul 10, 2026. Deploy open-source LLMs on Kubernetes with KServe for scalable, secure, and efficient AI inference. Master production-ready ML serving.
• Statically Typed vs Dynamically Typed LanguagesJul 08, 2026. Explore statically-typed vs. dynamically-typed languages: understand their pros, cons, and when to choose each for optimal software development.
• Orleans Framework Tutorial: Building Distributed Applications in .NETJul 09, 2026. Master .NET distributed apps with Orleans! Learn the Virtual Actor Model for scalable, fault-tolerant, and stateful systems.
• SurrealDB Explained: Combining SQL, Graph, and Document DatabasesJul 09, 2026. SurrealDB unifies SQL, graph, and document databases for modern apps. Simplify architecture with a single, multi-model solution.
• Tauri vs Electron: Building Lightweight Desktop ApplicationsJul 08, 2026. Tauri vs Electron: Compare architectures, app size, performance, security, and development for building lightweight desktop apps.
• Building Cross-Platform Desktop Apps with .NET MAUI in 2026Jul 07, 2026. Build cross-platform desktop apps with .NET MAUI in 2026. Leverage a single codebase for Windows, macOS, Android, and iOS. Discover its architecture, benefits, and best practices.
• Understanding Browser AI APIs: Running AI Models Directly in the BrowserJul 07, 2026. Run AI models directly in the browser with Browser AI APIs. Enhance privacy, reduce latency, and lower costs with local AI processing.
• Graph Database vs Vector Database: Understanding the Key DifferencesJul 06, 2026. Graph vs. Vector Databases: Understand key differences in data modeling, use cases, and AI integration for optimal application development.
• Building AI Agents with Model Context Protocol (MCP): A Beginner’s GuideJul 06, 2026. Learn about Model Context Protocol (MCP), a standardized way for AI agents to connect with tools, databases, and APIs, simplifying development and enhancing capabilities.
• Building AI Applications Using Model Context Protocol (MCP) ProxiesJul 03, 2026. Learn how Model Context Protocol (MCP) proxies standardize AI application communication with external tools, enabling scalable and secure integrations.
• Graph Databases vs Relational Databases: Choosing the Right ModelJul 03, 2026. Graph vs. Relational Databases: Understand strengths, weaknesses, and use cases to choose the right data model for your application.
• Building AI Features in ASP.NET Core Using Small Language Models Instead of Large LLMsJul 02, 2026. Build AI features in ASP.NET Core with Small Language Models (SLMs) for lower costs, faster responses, and better privacy than LLMs.
• How to Build a Multi-Model AI Strategy in .NET Using Azure OpenAI, Ollama, and Foundry LocalJun 30, 2026. Build flexible .NET AI apps with Azure OpenAI, Ollama, and Foundry Local. Optimize for performance, privacy, and cost with a multi-model strategy.
• Building Self-Hosted AI Development Environments with Foundry LocalJun 26, 2026. Build secure, self-hosted AI dev environments with Foundry Local for .NET apps. Maintain data control, boost productivity, and ensure compliance.
• Role of Hilbert Curve in LLMs: What It Is and How It Improves Data Organization and RetrievalJun 24, 2026. Learn what the Hilbert Curve is and how it helps Large Language Models (LLMs) organize, store, retrieve, and process high-dimensional data more efficiently. Explore its role in vector databases, embeddings, retrieval systems, and AI infrastructure.
• Crucial Contributions of Indians in Generative AI and LLMsJun 24, 2026. Discover what crucial contributions Indian researchers made to Generative AI and Large Language Models and how their work helped shape modern AI systems, multilingual models, and responsible AI research.
• AI-Aware System Design: Preparing Applications for Continuous Model EvolutionJun 24, 2026. Master AI-aware system design for resilient applications. Prepare for continuous model evolution with .NET strategies.
• AI-Oriented Application Monitoring: Tracking Model Impact on Business OutcomesJun 24, 2026. Monitor AI applications beyond technical metrics. Track model impact on business outcomes, user experience, and operational efficiency for true AI value.
• Building Enterprise AI Feedback Loops for Continuous Model ImprovementJun 23, 2026. Build enterprise AI feedback loops for continuous model improvement using ASP.NET Core. Enhance accuracy, reduce hallucinations, and boost user satisfaction.
• AI-Aware Application Architecture: Designing Systems That Adapt to Model ChangesJun 23, 2026. Design AI-aware applications that adapt to evolving models, ensuring reliability, scalability, and business continuity with abstraction and flexibility.
• Designing AI-Oriented Domain Models in ASP.NET Core ApplicationsJun 23, 2026. Design AI-oriented domain models in ASP.NET Core for intelligent apps. Integrate AI concepts for better scalability and business alignment.
• AI Lifecycle Management: Versioning Models, Prompts, and Knowledge SourcesJun 23, 2026. Master AI Lifecycle Management: Version models, prompts, and knowledge for reliable, transparent, and maintainable enterprise AI systems.
• Designing Enterprise AI Capability Maturity ModelsJun 23, 2026. Design enterprise AI capability maturity models to assess, scale, and optimize AI adoption for business excellence.
• AI Decision Logging: Tracking Why Models Make Business DecisionsJun 22, 2026. Unlock AI transparency with decision logging. Track why models make business decisions for trust, compliance, and better AI.
• Selecting the Right Embedding Model for a New DomainJun 20, 2026. Empirically select the best embedding model for specialized domains using LangGraph. Optimize RAG performance beyond general knowledge.
• What Is Mixture-of-Experts (MoE) ArchitectureJun 20, 2026. Learn what Mixture-of-Experts (MoE) architecture is and how it helps large AI models scale efficiently. Explore how MoE works, its benefits, challenges, use cases, and implementation strategies.
• Mastering .NET Interviews – Part 2: C# Language FundamentalsJun 20, 2026. Master C# fundamentals for .NET interviews! Covers data types, control structures, OOP, and common questions. Prep for Part 3!
• AI Application Resilience Patterns: Handling Model Failures in ProductionJun 19, 2026. Build robust AI applications by mastering resilience patterns for model failures, ensuring uptime, reliability, and seamless user experiences.
• Semantic Data Modeling for Enterprise AI ApplicationsJun 17, 2026. Unlock enterprise AI potential with semantic data modeling. Enhance search, integration, and AI accuracy by organizing data by meaning, not just structure.
• Small Language Models vs Large Language Models: Enterprise Implementation Trade-OffsJun 17, 2026. Explore SLM vs LLM trade-offs for enterprises: cost, performance, privacy, and implementation strategies for AI success.
• Qwen-VLA: The AI Model That Sees, Thinks, and ActsJun 16, 2026. Alibaba's Qwen-VLA is a single AI model that controls robots across tasks and bodies. Here's what makes it different — and why it matters for the future of robotics.
• Building AI-Powered SQL Assistants with Semantic Kernel and .NETJun 16, 2026. Build AI-powered SQL assistants with Semantic Kernel and .NET to unlock data insights. Empower users with natural language queries and secure data access.
• Building Multi-Model AI Applications with Azure OpenAI and Open-Source LLMsJun 16, 2026. Build robust multi-model AI apps with Azure OpenAI & open-source LLMs. Optimize cost, performance, and flexibility for .NET developers.
• Using Small Language Models (SLMs) in Enterprise .NET ApplicationsJun 16, 2026. Unlock enterprise efficiency with Small Language Models (.NET). Discover SLMs for faster, cost-effective AI solutions, enhanced privacy, and flexible deployment.
• AI Model Benchmarking for .NET Developers: Measuring Accuracy, Cost, and LatencyJun 16, 2026. Master AI model benchmarking for .NET developers. Measure accuracy, cost, and latency for optimal production AI solutions.
• Building Multi-Model AI Applications with Azure OpenAI and Open-Source LLMsJun 16, 2026. Build smarter AI apps by combining Azure OpenAI & open-source LLMs. Optimize cost, performance, and governance with multi-model architectures.
• AI Security Testing: How to Validate Prompts, Models, and Tool CallsJun 15, 2026. Secure your AI systems! Learn to validate prompts, models, and tool calls for LLMs, RAG, and agents in .NET.
• AI Model Routing: Selecting the Right LLM for Every RequestJun 15, 2026. Optimize AI costs & performance by routing requests to the right LLM. Discover strategies for efficient model selection.
• AI Workload Orchestration: Managing Multiple Models in Production ApplicationsJun 12, 2026. Master AI workload orchestration to manage multiple models in production. Optimize performance, cost, and reliability for enterprise AI applications.
• The Rise of AI Middleware: Connecting Applications, Models, and Data SourcesJun 12, 2026. AI middleware connects apps, models, and data for efficient, secure, and scalable enterprise AI integration.
• Windows Coreutils for Developers: Bringing Linux Commands Natively to WindowsJun 11, 2026. Windows Coreutils brings Linux commands like ls, cat, and grep natively to Windows, boosting developer productivity and cross-platform consistency.
• Local-First AI Development: Running Enterprise Models on Windows PCsJun 11, 2026. Explore Local-First AI Development: run enterprise models on Windows PCs for enhanced privacy, reduced costs, and lower latency.
• The Rise of Intent-to-Application Platforms: How Natural Language Is Changing Software DeliveryJun 11, 2026. Discover Intent-to-Application Platforms: AI transforms software delivery by converting natural language into applications, accelerating innovation.
• NLWeb Explained: How to Build AI-Ready Websites for the Agentic WebJun 10, 2026. Build AI-ready websites for the Agentic Web with NLWeb. Enable natural language interactions for AI agents and humans.
• Building AI-Native APIs with ASP.NET Core and Natural Language InterfacesJun 10, 2026. Build AI-native APIs with ASP.NET Core. Leverage natural language, intent processing, and semantic search for intelligent applications.
• GitHub Spark for Developers: Building Applications with Natural LanguageJun 10, 2026. GitHub Spark revolutionizes app development with AI, enabling developers to build applications using natural language prompts, accelerating creation and boosting productivity.
• Local AI Inference in .NET: Running Models on Windows Without Cloud APIsJun 10, 2026. Run AI models locally on Windows with .NET. Explore ONNX Runtime, Ollama, and hardware acceleration for private, fast, and cost-effective AI.
• Designing AI-Ready Data Models for Enterprise ApplicationsJun 10, 2026. Design AI-ready data models for enterprise .NET apps. Unlock AI potential with rich metadata, semantic relationships, and retrieval-optimized structures.
• Building Offline-First Enterprise Applications with .NET MAUI and Local AIJun 10, 2026. Build resilient enterprise apps with .NET MAUI & local AI. Ensure offline functionality, boost productivity, and enhance user experience.
• The Language of AI Agents with Microsoft FoundryJun 10, 2026. Build AI agents with Microsoft Foundry, grounding LLMs in enterprise knowledge for accurate, task-oriented responses. Explore PDF integration and guardrails.
• Semantic Reranking in Azure AI Search: A Complete Developer GuideJun 09, 2026. Unlock superior search relevance with Azure AI Search's semantic reranking. Understand intent, context, and meaning for better results.
• Local AI Development with Phi Models and .NET: Step-by-Step TutorialJun 09, 2026. Build local AI apps with .NET & Phi models! Learn step-by-step integration for privacy, speed, and cost savings. Unlock AI power locally.
• Building Cross-Platform Desktop Applications with Uno Platform and .NET 10Jun 09, 2026. Build cross-platform desktop apps with Uno Platform & .NET 10. Share C#, XAML code for Windows, Linux, macOS, web, and mobile.