Large Language Models vs Small Language Models: A Comparison

There are different types of language models, depending on their size, architecture, training data, and capabilities.

Language models are systems that can generate natural language text based on some input, such as a prompt, a query, or a context. Language models can be used for various tasks, such as text summarization, machine translation, question answering, text generation, and more. However, not all language models are created equal. There are different types of language models, depending on their size, architecture, training data, and capabilities. In this article, let’s focus on two main categories of language models: large language models (LLMs) and small language models (SLMs).