the first implementations go back to the 60s - the neural net approach was abandoned in the 80s because building a large network was impractical and it was unclear how to train anything beyond a simple perceptron. there hadn't been much progress in decades. that changed in the early oughts, especially when combined with statistical methods. this bore fruit in the teens and gave rise to recent LLMs.
the first implementations go back to the 60s - the neural net approach was abandoned in the 80s because building a large network was impractical and it was unclear how to train anything beyond a simple perceptron. there hadn't been much progress in decades. that changed in the early oughts, especially when combined with statistical methods. this bore fruit in the teens and gave rise to recent LLMs.