Why bigger is not always better in AI
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In AI research, everyone seems to think that bigger is better. The idea is that more data, more computing power, and more parameters will lead to models that are more powerful.…
https://www.technologyreview.com/2024/10/01/1104744/why-bigger-is-not-always-better-in-ai/
MIT Technology Review /
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2024-10-01 09:15:09
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2024-10-01 09:15:09Event JSON
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"content": "Why bigger is not always better in AI \n\nThis story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In AI research, everyone seems to think that bigger is better. The idea is that more data, more computing power, and more parameters will lead to models that are more powerful.…\n\nhttps://www.technologyreview.com/2024/10/01/1104744/why-bigger-is-not-always-better-in-ai/",
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