Live distillation demo
Black-Box Knowledge Distillation
Black-box distillation lab where a compact PyTorch student learns from teacher-labeled job postings, serves predictions through FastAPI, and reports fidelity, latency, confusion-matrix, and model-card artifacts.
Compare a compact student model against teacher-labeled job postings.
Python
PyTorch
FastAPI
React
Docker
Page expectations
What this route loads and what you should see.
Data source
Loads fidelity and cache metrics before prediction.
Expected result
Returns predicted role, probabilities, fidelity, latency, and cache metrics.
Predict with student
Compare a compact student model against teacher-labeled job postings.
Returns predicted role, probabilities, fidelity, latency, and cache metrics.
Student prediction
Returns predicted role, probabilities, fidelity, latency, and cache metrics.
Submit the form to see the prediction here.
Fidelity and cache metrics
Loads fidelity and cache metrics before prediction.
Loading fidelity and cache metrics.