Project-based learning

Prompt engineering

The GenAI model learns tasks from examples in the prompt

soft targets carry more information than hard labels: they encode class similarities

Soft targets carry more information than hard labels because they encode class similarities

Reasoning model

RLMs excel in logic, math, and programming tasks

Knowledge distillation

Knowledge distillation transfers knowledge from a large model to a smaller one without loss of validity

to use F1 score: when classes are imbalanced and both FP and FN matter

Use F1 score when classes are imbalanced and both FP and FN matter

classifier-free guidance does: interpolates between conditional and unconditional generation

"Classifies samples as either conditioned or unconditioned, guiding generation towards desired outcomes."