HenryNdubuaku

thanks for sharing!

Thanks to the poster, beat me to it :)

it does not support those languages, its explained in the writeup

thats what whistle is for :)

thanks, we improved on False Negatives this time :)

noted, we'd look into this, thanks

thanks!, let us know if you ever build it out :)

Thanks for testing Needle out! I'd be very interested in hearing more about the finetuning setup to see how we can make both the library's finetuning setup and the model better.

Thanks for considering needle. Keep in mind that you can also fine-tune the model to fit your use case more. I think this illustrates the intended deployment pretty well, where both computational resources and compute credits can both be issues for deployment.

Thank you fr this. "warm the house" now goes to the thermostat. It's fair that a more deterministic system with just action phrases would be easier to debug/interpret, but I think there is room for both a model that is trained to understand meaning as well as deterministic logic aiding it. To this end, we just started exploring the idea of triggers, and are working towards expanding this even more.

I think we might look into creating a baseline like this for our future models

Thanks!