I would imagine there are many situations within Meta's applications where relatively small models can do a good job — sentiment analysis, abusive language detection, characterising users based on their posts, summarising a user's complaint so it can be ignored more efficiently, assessing whether ads are likely to be fraudulent so they can be run more often, etc.

Google tends to be very good at vision and smaller/ edge

> It's interesting that Meta is heavily using Google's models (as opposed to Anthropic or OpenAI)

Who says they aren't? Could be using all of them for "research".

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