The encoder’s self-attention mechanism helps the model weigh the importance of each word in a sentence when understanding its meaning. Pretend the transformer model is a monster: ...

Like the encoder module, the decoder attention vector is passed through a feed-forward layer. Its result is then mapped to a very large vector which is the size of the target data ...

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

The separation of encoder and decoder components represents a promising future direction for wearable AI devices, efficiently balancing response quality, privacy protection, latency and power ...