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"https://www.wired.com/story/why-researchers-are-turning-to-small-language-models/"
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"Small Language Models Are the New Rage, Researchers Say"
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"The development of large language models has led to significant advancements in natural language processing, but it comes at a cost. Training these models requires huge computational resources and energy consumption. In response, researchers are now focusing on creating small language models that use a few billion parameters, which can excel on specific tasks such as summarizing conversations, answering patient questions, and gathering data in smart devices. These small models can run on smaller devices and require less computational resources, making them more efficient and cost-effective."
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"content": "nostr:nprofile1qyd8wumn8ghj7ctjw35kxmr9wvhxcctev4erxtnwv4mhxqpqt6lz3fnus87u0mlqlnf0vssejzrrqgr5erf9trfghd5y0myz9lvs7sf4gr\nhttps://media.wired.com/photos/67ed3bb0ce84edca4d9108cc/master/pass/Small-Models-Explainer_crCelsius-Pictor-Lede.jpeg\nLarger models can pull off a wider variety of feats, but the reduced footprint of smaller models makes them attractive tools.\nhttps://www.wired.com/story/why-researchers-are-turning-to-small-language-models/",
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