Autoregressive Language Model Training Algorithm: Difference between revisions
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** QUOTE: ... “[[autoregressive modeling]]” refers to a training technique or approach used in language models, rather than a specific model type. Autoregressive modeling is a method in which the model generates an output sequence one token at a time, conditioning on the previously generated tokens. It essentially predicts the next word in a sequence given the words that have come before. <P> [[Autoregressive model]]s are unidirectional, as they only use past context to generate the next token. This approach is used in models like [[GPT (Generative Pretrained Transformer)]] for pertaining. | ** QUOTE: ... “[[autoregressive modeling]]” refers to a training technique or approach used in language models, rather than a specific model type. Autoregressive modeling is a method in which the model generates an output sequence one token at a time, conditioning on the previously generated tokens. It essentially predicts the next word in a sequence given the words that have come before. <P> [[Autoregressive model]]s are unidirectional, as they only use past context to generate the next token. This approach is used in models like [[GPT (Generative Pretrained Transformer)]] for pertaining. | ||
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Latest revision as of 01:40, 27 February 2024
An Autoregressive Language Model Training Algorithm is a Autoregressive Language Model Training Algorithm that ...
- See: Masked Language Modeling.
References
2023
- chat
- QUOTE: ... “autoregressive modeling” refers to a training technique or approach used in language models, rather than a specific model type. Autoregressive modeling is a method in which the model generates an output sequence one token at a time, conditioning on the previously generated tokens. It essentially predicts the next word in a sequence given the words that have come before.
Autoregressive models are unidirectional, as they only use past context to generate the next token. This approach is used in models like GPT (Generative Pretrained Transformer) for pertaining.
- QUOTE: ... “autoregressive modeling” refers to a training technique or approach used in language models, rather than a specific model type. Autoregressive modeling is a method in which the model generates an output sequence one token at a time, conditioning on the previously generated tokens. It essentially predicts the next word in a sequence given the words that have come before.