Byte Pair Encoding. The most common tokenization algorithm for language models. It starts with individual characters and iteratively merges the most frequent pairs to build a vocabulary. Handles unknown words gracefully by breaking them into known subword pieces. Used by GPT models and many others.
The component that converts raw text into tokens that a language model can process.
The basic unit of text that language models work with.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
The research field focused on making sure AI systems do what humans actually want them to do.
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