How transformers work, why they are so important for the growth of scalable solutions and why they are the backbone of LLMs.

The transformer mechanism is a powerful system that further improves the capacity of the model to process features at different levels, ensuring that important details are not missed.

In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced ...

In simple terms, Transformers have a sort of “spotlight” (called the attention mechanism) that looks at only the most relevant words or data points in a sentence or dataset at any given moment.

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.