Results for "cost minimization"
Inference Cost
Intermediate
Cost to run models in production.
Training Cost
Intermediate
Cost of model training.
Empirical Risk Minimization
Intermediate
Minimizing average loss on training data; can overfit when data is limited or biased.
Active Learning
Intermediate
Selecting the most informative samples to label (e.g., uncertainty sampling) to reduce labeling cost.
Monitoring
Intermediate
Observing model inputs/outputs, latency, cost, and quality over time to catch regressions and drift.
Throughput
Intermediate
How many requests or tokens can be processed per unit time; affects scalability and cost.
Context Compression
Intermediate
Techniques to handle longer documents without quadratic cost.
Optimal Control
Intermediate
Finding control policies minimizing cumulative cost.
Linear Quadratic Regulator
Intermediate
Optimal control for linear systems with quadratic cost.
Cost Attribution
Intermediate
Assigning AI costs to business units.