Backpropagation
Language Models and Natural Language Processing
AI models that generate sequential data by predicting each element based on previous elements.
Detailed Explanation
Autoregressive models are a class of language models that generate sequences by predicting each element (such as a word or token) based on all prior elements in the sequence. They use probabilistic approaches to model the dependencies between sequence components, enabling tasks like text generation, speech synthesis, and time series forecasting with coherent and contextually relevant outputs.
Use Cases
- •Generating coherent text summaries by sequentially predicting each word based on prior words.
Related Terms
Other terms in the Language Models and Natural Language Processing category