Why Do Researchers Care About Small Language Models?
Larger models can pull off greater feats, but the accessibility and efficiency of smaller models make them attractive tools. The post Why Do Researchers Care About Small Language Models? first appeared on Quanta Magazine
Large language models work well because they’re so large. The latest models from OpenAI, Meta and DeepSeek use hundreds of billions of “parameters” — the adjustable knobs that determine connections among data and get tweaked during the training process. With more parameters, the models are better able to identify patterns and connections, which in turn makes them more powerful and accurate.
