Technology
Three methods support the approach: adapt models to a task, reduce the resources they need, and calculate feasible choices.
Model post-training and evaluation
Post-training adapts an existing model to a defined task using relevant examples. Evaluation checks its answers against agreed standards and records where it still falls short.
Model compression and efficient inference
Compression reduces a model’s size, while inference methods change how it runs. Test any change against the required answer quality, response time, memory use, and cost.
Decision optimization
Optimization represents business goals and limits in a mathematical model. It compares feasible choices under stated assumptions, so people can see what each option gains and gives up.
Start with one use case.
Request a diagnostic