A training phase where AI models learn to predict and generate text based on large-scale datasets.
More about Generative Pretraining
Generative Pretraining is a foundational training phase for language models where they learn to predict and generate text by processing large datasets. Models like GPT undergo generative pretraining to understand linguistic patterns, semantics, and context.
This phase enables tasks like context-aware generation, retrieval-augmented generation (RAG), and semantic search, where deep understanding of language is crucial.
