Results for "demonstration-based"

Extension of convolution to graph domains using adjacency structure.

Assigning category labels to images.

GNN using attention to weight neighbor contributions dynamically.

Pixel-level separation of individual object instances.

Joint vision-language model aligning images and text.

Pixel motion estimation between frames.

Predicting future values from past observations.

Repeating temporal patterns.

Optimal estimator for linear dynamic systems.

Maintaining two environments for instant rollback.

Using production outcomes to improve models.

System that independently pursues goals over time.

Interleaving reasoning and tool use.

Agent reasoning about future outcomes.

Sum of independent variables converges to normal distribution.

Updated belief after observing data.

Belief before observing data.

Optimization under uncertainty.

Multiple examples included in prompt.

Assigning a role or identity to the model.

Explicit output constraints (format, tone).

Asking model to review and improve output.

Temporary reasoning space (often hidden).

Differences between training and inference conditions.

Model relies on irrelevant signals.

Probabilities do not reflect true correctness.

European regulation classifying AI systems by risk.

AI used in sensitive domains requiring compliance.

Central log of AI-related risks.

Assigning AI costs to business units.