Language Models

Language Models (LMs) are deep learning systems—like GPT-4 and Llama 2—trained on massive text datasets to predict and generate human-quality text, code, and conversation.

Language Models are sophisticated deep learning systems, primarily utilizing the Transformer architecture, designed to process and generate natural language. They function as probabilistic prediction engines, estimating the likelihood of a token (word or subword) sequence based on billions or even trillions of learned parameters (e.g., Llama 2 offers models from 7B to 70B parameters). Training involves self-supervised learning on massive, diverse datasets (Common Crawl, digitized books), enabling them to master syntax, semantics, and context. Key applications include advanced text generation, summarization, machine translation, and code generation, effectively powering modern conversational AI and developer tools.

https://en.wikipedia.org/wiki/Large_language_model