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Bigger AI models aren't always better: how a 70B model beat a 280B one by reading more

This story is from 2026-10-20. It is preserved in the archive; the latest stories are on the live feed.

For a few years, the way to build a better AI model was simple. Make it bigger. Then in 2022 DeepMind trained a model called Chinchilla. It had 70 billion parameters. It beat their own older model, Gopher, which had 280 billion . A quarter of the size, better scores. How? Chinchilla didn't have a s…

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  1. 2026-10-20 19:02 · DEV Community — Machine Learning
    Bigger AI models aren't always better: how a 70B model beat a 280B one by reading more

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