Page 4 - LARGE LANUGAGE MODEL AND SMALL LANUGAGE MODEL

 4. Transformer-based models

 These models use a neural network architecture that can understand

long-range dependencies in text data, making them useful for a

wide range of language tasks, including generating text, translating

languages, and answering questions.

 5. MT-NLG (Megatron-Turing Natural Language Generation)

 This advanced language model is based on transformer architecture

and can perform a wide range of natural language tasks, including

natural language inferences and reading comprehension.

 6. XLNet

 This pre-trained LLM was developed by researchers from Carnegie

Mellon University and Google and has been shown to outperform

BERT on a wide range of language tasks, including text classification

and question-answering.

 Other types of LLMs include Cohere and Orca.