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I didn't think Recall was about answering questions - there was no LLM component - so much as it was about being able to search your history, based on a combination of SQLite FTS against OCRd text plus CLIP-style embeddings-based semantic search against the content of those images.


> Microsoft says Recall lets you find anything you've seen or done on your PC with a simple search query, and it's powered by state-of-the-art large language models, which can understand various content on your PC, like text, images, and videos. It works in any application, so you can search across your computer.

https://www.wired.com/story/everything-announced-microsoft-s...


Weird. I got the impression they were using embedding models (which I think of as LLM-adjacent) but not actual LLMs. See notes here: https://simonwillison.net/2024/Jun/5/ai-features-in-microsof...


I haven't actually dug into it myself, so it could just be that marketers or journalists got mixed up somewhere.




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