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A blog author has built a browser-based retrieval system that runs small language models locally, then tested how reliably they answer questions about the site’s content. The author reports that the models often produced unfaithful answers and scored poorly on accuracy compared with larger models or hosted APIs.

Why it matters

Running a model in the browser can keep processing on the user’s device, but privacy is only half the bargain if the answers cannot be trusted. Small models may need fine-tuning before they are useful for reliable summarising.

Discuss: How much accuracy would you trade for keeping AI processing on your own device?

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