Small Language Models Rising: Why U.S. Companies Prefer Them Over LLMs

TL;DR


Summary:
- Small language models are becoming more popular and useful in technology. These models are machine learning algorithms that can understand and generate human-like text, but they are smaller and more efficient than larger, more complex models.
- The article discusses why smaller language models are rising in popularity, especially in the United States. Smaller models can be run on less powerful hardware, making them more accessible and affordable for a wider range of applications and users.
- Smaller language models are being used in a variety of technology applications, such as chatbots, virtual assistants, and content generation. They are also being used in research and development to explore new ways of using natural language processing.

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