Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

Google now uses Gemini 3 Pro to generate some AI Overviews in Search. For more complex queries, Google relies on Gemini 3 Pro to power those overviews. The SEO toolkit you know, plus the AI visibility ...

Microsoft’s declarative REST and GraphQL API design tool supports MySQL and Postgres as well as Azure databases and works anywhere you can run a Docker container. Microsoft Azure is now so big it’s ...

DuckDB requires that you run a prepare statement to use query parameters, but most other databases allow them to be used in a single step. For most systems, this is the primary security for protecting ...

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An MCP Server is a simple program that lets AI models securely access data and tools using the Model Context Protocol (MCP). FastMCP is a Python framework that helps you build MCP servers and clients.

Have you ever found yourself buried under a mountain of Excel sheets, each holding pieces of data that need to be stitched together into one cohesive whole? It’s a common challenge for anyone working ...