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Joined 2 years ago
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Cake day: July 1st, 2023

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  • Hugging Face being developer-facing is completely irrelevant considering the question you asked was whether I was aware of any companies doing anything like this.

    Your concern that companies like Meta and Microsoft are too scared to let users retrain their models is also irrelevant considering both of these companies have already released models so that anyone can retrain or checkpoint merge them i.e. Llama by Meta and Phi by Microsoft.

    It’s a cloned image, not unique per computer

    Microsoft’s Copilot works off a base model, yes, but just an example that LLMs aren’t as CPU intensive as made out to be. Further automated finetuning isn’t out of the realm of possibility either and I fully expect Microsoft to do this in the future.



  • There are plenty of people and organisations doing stuff like this, there are plenty of examples on HuggingFace, though typically it’s to get an LLM to communicate in a specific manner (e.g. this one trained on Lovecraft’s works). People drastically overestimate the amount of compute time/resources training and running an LLM takes; do you think Microsoft could force their AI on every single Windows computer if it was as challenging as you imply? Also, you do not need to start from scratch. Get a model that’s already robust and developed and fine tune it with additional training data, or for a hack job, just merge a LoRA into the base model.

    The intent, by the way, isn’t for the LLM to respond for you, it’s just to interpret a message and offer suggestions on what a message means or rewrite it to be clear (while still displaying the original).











  • Wow, you’re right. German really is amazing!

    mittens = Faustschuhe => fist shoes

    hat = Kopfschuh => head shoe

    glasses = Augenschuhe => eye shoes

    earrings = Ohrschuhe => ear shoes

    mask = Gesichtsschuh => face shoe

    bra = Brustschuhe => breast shoes

    shirt = Rumpfschuh => torso shoe

    pants = Beinschuhe => leg shoes

    helmet = Gehirnschuh => brain shoe

    diaper = Babyschambereichschuh => baby shame-area shoe