We'll subsequently cover autoencoding models and will see that when combined, we get Seq2Seq or sequence-to-sequence models. Multimodal and retrieval-based architectures are covered finally, before we ...

However, what these extensions have in common is that they use a wide variety of terms to describe all parts of the model. When you read related papers, you'll find that some models are called ...

Abstract: The pre-training architectures of large language models encompass various types, including autoencoding models, autoregressive models, and encoder-decoder models. We posit that any modality ...