The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.

The trend will likely continue for the foreseeable future. The importance of self-attention in transformers Depending on the application, a transformer model follows an encoder-decoder architecture.

A Solution: Encoder-Decoder Separation The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models.

Call it the return of Clippy — this time with AI. Microsoft’s new small language model shows us the future of interfaces.