Decoder-only Transformer

A decoder-only Transformer is a type of neural network architecture designed primarily for generating sequences of data, such as text. It processes input data in a unidirectional manner, meaning it predicts the next element in a sequence based solely on the preceding elements, utilizing self-attention mechanisms to capture contextual relationships within the input. This architecture is particularly effective for tasks that involve autoregressive generation, where each output depends on the previously generated outputs.

Articles in this topic

  • What is Decoder-only Transformer?

    A decoder-only transformer is a type of neural network architecture primarily used for generating text. It processes sequences of data in a unidirectional manner, focusing on predicting the next token based on previous tokens.

  • How does Decoder-only Transformer work?

    Decoder-only transformers work by utilizing self-attention mechanisms to generate text. They predict the next token in a sequence based on the context provided by preceding tokens.

  • Use Cases of Decoder-only Transformer

    Decoder-only transformers are utilized in various applications, primarily in natural language processing tasks such as text generation and conversational agents.