Results for "data → model"

The relationship between inputs and outputs changes over time, requiring monitoring and model updates.

Fraction of correct predictions; can be misleading on imbalanced datasets.

Often more informative than ROC on imbalanced datasets; focuses on positive class performance.

Generates sequences one token at a time, conditioning on past tokens.

Stepwise reasoning patterns that can improve multi-step tasks; often handled implicitly or summarized for safety/privacy.

Feature attribution method grounded in cooperative game theory for explaining predictions in tabular settings.

Techniques that fine-tune small additional components rather than all weights to reduce compute and storage.

Routes inputs to subsets of parameters for scalable capacity.

Joint vision-language model aligning images and text.

Formal model linking causal mechanisms and variables.

Incrementally deploying new models to reduce risk.

Learned subsystem that optimizes its own objective.

Breaking tasks into sub-steps.

Temporary reasoning space (often hidden).

Small prompt changes cause large output changes.

Probabilities do not reflect true correctness.

Restricting distribution of powerful models.

Networks using convolution operations with weight sharing and locality, effective for images and signals.

Networks with recurrent connections for sequences; largely supplanted by Transformers for many tasks.

A datastore optimized for similarity search over embeddings, enabling semantic retrieval at scale.

Updating beliefs about parameters using observed evidence and prior distributions.

Bayesian parameter estimation using the mode of the posterior distribution.

Techniques to handle longer documents without quadratic cost.

Generator produces limited variety of outputs.

Persistent directional movement over time.

Identifying abrupt changes in data generation.

Mathematical foundation for ML involving vector spaces, matrices, and linear transformations.

Decomposes a matrix into orthogonal components; used in embeddings and compression.

Number of linearly independent rows or columns.

Centralized AI expertise group.