Glossary
A plain-English glossary of the methods and ideas behind modern AI. Search, sort, or jump to a letter.
7 terms
| Definition | ||
|---|---|---|
| Data Contamination | When benchmark or test data leaks into a model’s training set, inflating its scores. | May 22, 2026 |
| Deep Learning | Machine learning with many-layered neural networks that learn features automatically. | May 21, 2026 |
| Deep Research Agents | Autonomous agents that iteratively search, read, reason, and synthesize multi-source, cited reports on a question over many steps. | May 21, 2026 |
| DeepSeek Sparse Attention (DSA) | A fine-grained trainable sparse attention built on Multi-head Latent Attention, using a lightning indexer plus token selection. | May 21, 2026 |
| Diffusion Models | Generative models that create data by gradually denoising random noise. | May 21, 2026 |
| Direct Preference Optimization | A simpler alternative to RLHF that optimizes preferences without a reward model. | May 21, 2026 |
| Dropout | Randomly disabling neurons during training to prevent overfitting. | May 21, 2026 |