Instruction: Discuss how you extract and select features from different modalities for effective model training.
Context: The aim is to evaluate the candidate's understanding of handling and processing varied data types to extract meaningful features that a multimodal AI model can use.
Official answer available
Preview the opening of the answer, then unlock the full walkthrough.
The way I'd explain it in an interview is this: Feature extraction in multimodal systems usually begins with modality-specific encoders: a text encoder for language, a vision encoder for images, an audio encoder for sound, and so on. Each encoder transforms raw input into a...