Conditioning (Machine Learning)

Conditioning means providing additional information (like an image or sensor readings) to guide a model’s predictions.

Why It’s Used Instead of learning p(x), we learn p(x∣c), where c is context (e.g., visual input).

• This lets the model generate outputs relevant to a specific situation.