Part 6/10:
The Mechanism Behind Learning in LCMs
The methodology for training LCMs is highly sophisticated. Researchers employed a variety of approaches, with one of the most effective hinged on a technique called diffusion. This process entails gradually introducing noise into sentence embeddings and subsequently training the model to reverse this perturbation, restoring the original meaning. Through this practice, the model learns the intricate relationships between concepts, enhancing its ability to generate coherent and contextually relevant sequences.