LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

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.

Abstract: Software refactoring is widely employed to improve software quality. However, conducting refactorings manually is tedious, time-consuming, and error-prone. Consequently, automated and ...

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.