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.

Autoresearch for weather dycores. Contribute to khzhao/dynamaxx development by creating an account on GitHub.

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.

The AI boom has been built on a basic assumption: Bigger models are more powerful, and the most powerful models win. Now, the industry is about to learn what happens if that assumption starts to break ...

To evaluate inflammatory biomarkers (neutrophil-to-lymphocyte ratio [NLR], C-reactive protein [CRP]) as continuous variables and assess linearity and the proportional hazards (PH) assumption, ...

We have implemented three falsification algorithms, which can be used complementarily: Hierarchical Graphical Independence Constraint (HGIC) Test: This test jointly assesses whether unconfoundedness ...