Generative AI
Meta Muse: Meta's AI Agent App and Models
Learn what Meta Muse covers: the US-only Muse agent app, the Spark, Image, Wonder and open-weight models, how to call them from code, and the limits to know.
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Choosing an AI Video Generation Model by Task: A Developer's Guide (with a C# Job-Polling Example)
Learn how to select AI video generation models by task, compare their capabilities fairly, and implement the common submit, poll, and download API workflow in C#.
OpenAI Prompt Caching: How to Increase Cache Hits and Reduce Cost
Learn how OpenAI Prompt Caching works, improve cache hits, reduce input costs, and design stable prompts for faster, more efficient AI applications.
What Is a System One Model and How Does It Work?
Learn what System One Models are, how TypeSafe Jev enables structured AI decisions, and how they differ from LLMs for automation and AI workflows.
What Is JEV in Generative AI and How Does It Work?
What is JEV in Generative AI, and how does it work? Learn how TypeSafe AI’s JEV decision model differs from LLMs and how it can power AI agents, automation, routing, scoring, and real-time workflows.
Microsoft Foundry Model Router: Keeping the Same Model Across a Conversation with Session Affinity
Learn how Microsoft Foundry Model Router session affinity keeps related Chat Completions requests on the same eligible model while supporting fallback and routing flexibility.
Microsoft Foundry Model Router: Tracking Fallbacks and Routing Latency Per Request
Learn how to monitor Microsoft Foundry Model Router requests, track model fallbacks, measure routing latency, and improve observability across AI workloads.
Build a Reproducible Image-to-Video Generation Pipeline in C#
Learn how to model, validate, and execute a reproducible image-to-video prompt pipeline in C# using provider adapters and structured render jobs.
Generative Engine Optimization (GEO) Strategies for AI Search Visibility
Master Generative Engine Optimization (GEO) to boost AI search visibility. Learn strategies for trustworthy content selection in AI-generated answers.
Fort Knox for Your Prompts: How to Secure PII & Prompts When Connecting to Azure OpenAI
Secure your Azure OpenAI deployments by protecting PII and prompts with a layered, step-by-step approach. Learn best practices for data handling, access control, and threat mitigation.
OpenAI Responses API vs Chat Completions API: A Migration Guide for .NET Developers
Migrate .NET AI apps from OpenAI Chat Completions to Responses API for enhanced tool calling, structured outputs, and future AI features.
Retrieval-Augmented Generation (RAG): Architecture, Benefits, and Limitations
Unlock accurate, up-to-date AI responses with RAG. Learn its architecture, benefits, and how it integrates external knowledge for enterprise AI.
Vector Databases Explained: How Semantic Search Works in Modern Applications
Unlock semantic search with vector databases. Understand how embeddings power AI apps, from RAG to recommendations, for context-aware results.
Choosing Between AWS Bedrock, SageMaker, and Custom EC2/Kubernetes for LLM Inference
Choosing LLM inference backends: AWS Bedrock, SageMaker, or K8s. Learn the organizational decision framework and a practical LangGraph implementation.
OpenAI Responses API vs Chat Completions API: What Changed and Why It Matters
OpenAI's Responses API vs. Chat Completions API: Understand the evolution, key differences, and why the Responses API is the future for advanced AI applications.
Running Open-Source LLMs with vLLM: A Developer's Deployment Guide
Deploy open-source LLMs efficiently with vLLM. Learn how this high-performance engine optimizes throughput, memory, and latency for production AI.
DeepSeek-R1 vs GPT-4o vs Claude 4: Performance Comparison for Developers
Compare DeepSeek-R1, GPT-4o, and Claude 4 for developers. Find the best AI model for coding, reasoning, speed, and enterprise use.
How to Deploy Open-Source LLMs on Kubernetes Using KServe
Deploy open-source LLMs on Kubernetes with KServe for scalable, secure, and efficient AI inference. Master production-ready ML serving.
AI Isn't Replacing Technical Product Managers—It's Creating a New Generation of Super PMs
Learn how AI is transforming the role of Technical Product Managers across the entire product lifecycle. Discover practical AI use cases for research, prioritization, roadmap planning, user story generation, analytics, release management, and stakeholder communication—while understanding why strategic thinking and customer empathy remain uniquely human.
Building AI-Powered Cloud Cost Optimization Advisors with ASP.NET Core
Build an AI-powered cloud cost advisor with ASP.NET Core, Azure Cost Management, and Azure OpenAI for intelligent optimization and savings.
Vertical AI Agent: What It Is and How to Build One That Works
Learn what a vertical AI agent is and how to build one for a real business workflow. See simple examples, architecture, setup steps, risks, fixes, and success metrics.
Building AI-Powered Database Migration Assistants with .NET and Azure AI
Build AI-powered database migration assistants with .NET & Azure AI. Automate risk analysis, SQL generation, and documentation for safer, faster migrations.
Crucial Contributions of Indians in Generative AI and LLMs
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.
Role of Hilbert Curve in LLMs: What It Is and How It Improves Data Organization and Retrieval
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.
Building AI-Powered Code Migration Tools with .NET and Azure OpenAI
Leverage .NET and Azure OpenAI to build intelligent AI-powered tools for automating legacy code migration, accelerating modernization.
Building Multi-Model AI Applications with Azure OpenAI and Open-Source LLMs
Build smarter AI apps by combining Azure OpenAI & open-source LLMs. Optimize cost, performance, and governance with multi-model architectures.
Building Multi-Model AI Applications with Azure OpenAI and Open-Source LLMs
Learn how to build .NET multi-model AI applications with Azure OpenAI and open-source LLMs, using intelligent routing, RAG, fallbacks, and cost optimization.
AI Governance Workflows for Enterprise Software Development Teams
Master AI governance workflows for enterprise software development. Ensure security, compliance, and transparency in AI systems.
Building AI-Powered Support Engineers with Azure OpenAI and ASP.NET Core
Build AI-powered support engineers with ASP.NET Core, Azure OpenAI, and Azure AI Search for faster resolutions and reduced costs.
Kiro as AI Partner for MS SQL Server Optimization on .NET Core: What Used to Take Days Now Takes Hours
Kiro optimizes MS SQL Server for .NET Core by analyzing code & queries, transforming days of work into hours. Learn how AI partners with developers.
