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Topics

Accelerating AI Innovation Using the Microsoft AI Toolkit

C# 14: From Helper Classes to First-Class APIs

Kimi K2 Thinking on Azure: A Simple Guide to Moonshot AI’s Deep Reasoning Model

How to Create a Generative Page in Power Apps

Partial Constructors in C# 14 (.NET 10) - A Game-Changing Feature

Why MCP Matters in Modern AI Systems

AI Hallucinations Explained: Inside the Museum of AI Hallucinations | AI Agents Conference 2025

From Black-Box to Guard-Box in Financial AI Security | Oleksandr Potapenko | AI Agents Conference 2025

Getting Started with Foundry Local: Run AI Models on Your Own Device

Getting Started with AI Toolkit in VS Code: A Simple Guide for Everyone

Creating Objects Without a Model in C#

Differences Between asyncio, Multiprocessing, and Threading in Python

The Evolution of Web Security: Best Practices for 2025 and Beyond

C# Corner Daily Tech Updates | AWS Agentic AI, NVIDIA LLM Fine-Tuning, Slurm Acquisition – Dec 15, 2025

What are AI hallucinations

Different Types of AI Hallucinations

How LLMs Generate Responses

Entity Framework Core – Code First Approach

Entity Framework Core – Database First Approach

How to Connect SharePoint Using ASP.Net Core Azure Function (Isolated worker model) ?

Record, Record Struct, and Structural Equality in C#

Evaluating Generative AI Models and Agents in Azure AI Foundry

LLMs And GSCP-15: Turning Raw Models Into Governed Reasoning Systems

What LangSmith Fetch Is and How It Automates Dataset Retrieval for Evaluations

🔮 Micro-LLMs vs Large LLMs: The Future of Lightweight AI Models

AI Agents vs Traditional AI Models: How Digital Workers Will Replace Apps

Difference Between Public, Private, and Hybrid Cloud?

LangSmith Cost Tracking: Full Guide to Logging, Monitoring, and Optimizing LLM Costs

Entity Framework Core – A Complete and Deep Explanation

Beyond Single Models: Why The Future Belongs To Private, Tailored, Small AI Models and Teams

Exception Handling in ASP.NET Core

How to Build a REST API with FastAPI and Async Operations

Protecting AI Models Against Malicious Inputs

Integrating Machine Learning Models into ASP.NET Core Applications

Protecting AI Models Against Malicious Inputs

Integrating Machine Learning Models into ASP.NET Core Applications

Large Language Models: What They Really Change In Work And Software

Deploying AI Models to Azure App Services with ASP.NET Core

Power BI Modeling MCP: Automating Semantic Model Workflows

Major Challenges LLMs Face When Working With Healthcare Data

Model Validation in ASP.NET Core Using Data Annotations

Docker Model Runner Adds vLLM for Fast AI Inference

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How Large Language Models (LLMs) Work

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LLMs: Generative AI: When Your Learning Architecture Is Not Smart Enough, Your Model Gets Worse

Generative AI: When Your Learning Architecture Is Not Smart Enough, Your Model Gets Worse

When Your Learning Architecture Is Not Smart Enough, Your Model Gets Worse

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Workload Analyzer — Predict SQL Query Performance Using ML Models

Qwen3-Omni: The AI That Actually Speaks Your Language (Literally!)

Designing a Consistency Model for Hybrid SQL + Event Store

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Building a Unified Logging Correlation Model (TraceID Propagation)

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Designing a Consistency Model for Hybrid SQL + Event Store

Designing a Consistency Model for Hybrid SQL + Event Store | .NET Core + Angular

Hybrid Query Engine: SQL + JSONB + XML within the Same Data Model

Building a Unified Logging Correlation Model (TraceID Propagation) | .NET + Angular

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Power BI Modeling MCP Server in VS Code

Microsoft Launches the New Teams SDK

Sentiment Analysis with GPT-5 and Python: A Complete 2025 Guide

Qwen3-Next: The AI Model That's Actually Affordable to Run

The Mathematics Behind Artificial Intelligence and Large Language Models

The Mathematics Behind Artificial Intelligence and Large Language Models

The Mathematics Behind Artificial Intelligence and Large Language Models

Automating Code Reviews Using AI Models (GitHub Copilot for Teams)

Artificial Intelligence: The Silent Bottleneck - Why Model Scaling Alone Cannot Deliver Reliable AI

Artificial Intelligence: We Should Stop Calling Them “Large Language Models”

Gen AI: We Should Stop Calling Them “Large Language Models”

LLMs: We Should Stop Calling Them “Large Language Models”

Intelligent Error Classification in Application Logs Using AI Models