Natural Language Processing. The AI field covering all things language — understanding, generating, translating, summarizing text. Before transformers, NLP relied on techniques like TF-IDF, word2vec, and LSTMs. Now, large language models handle most NLP tasks with a single architecture.
The field of AI focused on enabling computers to understand, interpret, and generate human language.
An AI model that understands and generates human language.
The neural network architecture behind virtually all modern AI language models.
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.
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