Multimodal Learning

Multimodal systems combine what models see, read, and hear into one loop. In practice, you’ll build two kinds of stacks: vision–language models that align images and text (CLIP-style dual encoders) and audio pipelines that load, transform, recognize (ASR), and speak (TTS). This chapter shows how to wire those pieces in PyTorch with torchvision and torchaudio, plus a pragmatic bridge to pretrained ASR/TTS so you can ship something useful before you’ve trained anything from scratch.