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Small language models set to be the next big thing in AI

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SLMs can generate human-like language but are trained on smaller datasets with fewer parameters. They are said to be easier to train and use, consuming less computational power, more cost-effective, and better suited for specific tasks.
The article from MSN discusses the emerging trend of Small Language Models (SLMs) in the field of artificial intelligence. These models, which require less computational power and data compared to their larger counterparts like ChatGPT, are becoming increasingly popular due to their efficiency and cost-effectiveness. SLMs can be tailored for specific tasks, making them highly valuable for niche applications where large models might be overkill. Companies like xAI, with its Grok model, and others are exploring SLMs to provide more personalized AI solutions. The article highlights that while SLMs might not match the broad capabilities of larger models, their ability to perform well in targeted areas, lower operational costs, and reduced environmental impact are driving their adoption. This shift is seen as a potential game-changer, allowing smaller entities and developers to leverage AI without the need for extensive resources.

Read the Full MSN Article at:
[ https://www.msn.com/en-in/money/other/small-language-models-set-to-be-the-next-big-thing-in-ai/ar-AA1wJe0Z ]