New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...
Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...
Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
AI can generate C# code far faster than you can fix it. Follow these best practices to ensure that your AI-generated C# is ...
Not all prompts are created equal. You can save a bundle on token costs by routing your simpler prompts to cheaper models.
SkiaSharp 4.148.0 marks the first stable release in the SkiaSharp v4 line. The project is now co-maintained by Microsoft's .NET team and Uno Platform, reflecting a broader open-source collaboration.
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
Z.ai pitches GLM-5.2 for long-running software engineering tasks The open-source model combines a one-million-token context window with architectural updates aimed at lowering the cost of ...
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