Summary
Small language models are becoming popular as they are trained on a more focused data set for specific tasks, tailored to companies' requirements. Companies like RCI and Second of AI in Japan are actively involved in developing these small language models. Big tech companies are also releasing smaller versions of their flagship models to cater to a wider range of use cases. This trend showcases a shift towards more specialized and efficient language models in the industry.
What is a small language model?
Explanation of small language models compared to large language models. Small models are trained on a smaller, more refined set of data for specific tasks tailored to companies' needs.
Who is leading the way in small language models?
Overview of companies and startups involved in developing small language models, including RCI and Second of AI in Japan, as well as big tech companies releasing smaller versions of their flagship models.
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