Differences Between LLMs and SLMs

Language models are a revolution in  artificial intelligence that are changing the way humans communicate with robots

SLMs offer advantages that make them interesting for specific applications, but LLMs are frequently the focus because to their outstanding capabilities

An artificial intelligence model that has been trained on enormous volumes of text data is known as a huge language model

A Small language model (SLM) is a condensed form of a large language model (LLM), usually created by distilling or trimming the LLM

Although LLMs require development, they differ from SLMs in resource demands, performance, and challenges

Both LLMs and SLMs can be fine-tuned, but the optimum approach depends on the job, resources, and performance level

SLMs are beneficial and economical for many applications, while LLMs work best in complex or data-intensive situations

LLM and SLM market quantities are hard to estimate, even though the language model business is large and growing fast