When it comes to generative AI and the models that drive them, sometimes less is more. Many businesses find that small language models tailored for very specific tasks can be more effective and efficient than large language models (LLMs). Small models are less expensive to train and maintain, and often outperform the kitchen-sink approach of their gigantic multipurpose counterparts.
Here we’ll explain the appeal of small models, how they work, and how they can benefit your business. You will get answers to these questions:
What is a small language model? Why are large language models so expensive? How are small language models different? How do small language models enable on-device AI? What is a small language model?
A small language model is a machine-learning algorithm that’s been trained on a dataset much smaller, more specific, and, often, of higher quality than an LLM’s. It has far fewer
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