AI conversations that actually understand you

Neural networks learn by adjusting weights through backpropagation — minimizing the difference between predicted and actual outputs across thousands of examples.

Transformers use self-attention to weigh the importance of every word relative to every other word simultaneously — unlike RNNs which process sequentially.