What are Small Language Models (SLM)?
A language model with fewer parameters that is cheaper and faster to run, and can be deployed on standard servers or even personal computers.
In detail
Large models are powerful, but they usually require calling cloud services, and cost and data leaving the company are both concerns. Small language models are optimized for specific tasks and can run locally, suited to well-defined work such as classification, information extraction and simple Q&A.
For example
A locally run small model automatically extracts the invoice number, amount and date from supplier invoices, and the data never leaves the company's servers.
How companies use it
When the task is clear, call volume is high and data privacy requirements are strict, consider a small model first; leave complex reasoning to a large model.
Common misconceptions
Expecting a small model to do everything. It is usually weaker than a large model at complex reasoning and long-text understanding, so choose by task.
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