Deep learning is the branch of machine learning that trains many-layered neural networks to learn features directly from raw data like text,…
A diffusion model is a generative AI model that creates images, audio or video by learning to reverse a gradual noising process…
Distillation is a training method in which a smaller student model learns to reproduce the outputs of a larger teacher model at…
Distributed training splits the training of a machine learning model across many GPUs or nodes so that larger models and datasets can…
DPO, or direct preference optimization, trains a language model on pairs of preferred and rejected answers without a separate reward model or…