About this document
Understanding Generative Language Models by akramshaik2004 is a document available to read on EtoBox.
Generative models are AI systems that create new data based on learned patterns, with language models specifically predicting the next words in text. They can be statistical or neural, with transformers being a modern method that uses attention mechanisms to understand context. Key components of language models include tokens, embeddings, attention mechanisms, and the training process, with applications ranging from chatbots to text summarization.
- Author
- akramshaik2004
- Language
- EN