Area of inquiry
How do training data and architecture shape model capabilities?
One of the field's big questions. It gathers the themes below — all questions the research asks, not subjects it is about. (For subjects, browse Topics.)
Themes within this area 5
Each theme is a narrower question. Follow one down toward its lines of inquiry.
- What training signals and data selection strategies optimize learning?
- How do systems prioritize meaningful information across modalities and scales?
- How should model design balance architectural complexity and computational cost?
- What does iterative improvement accomplish and what are its limitations?
- What structural and domain factors determine prompt effectiveness for language models?