aliabd

Checkout the demo on spaces: https://huggingface.co/spaces/ysharma/Explore_llamav2_with_T...

Saw this on twitter: https://twitter.com/Aella_Girl/status/1645398628524064769

Super cool. Big fan of LLMs for explaining code/helping debug as opposed to autocomplete.

Have you tried playing with the prompt? Curious if something (so silly) like “how would an experienced engineer fix this error: <stacktrace>” make a difference.

Twitter thread by the journalist who confirmed details with the victims in the sample: https://twitter.com/_KarenHao/status/1543949945614393344

Just updated the link again - much faster now (inference down to 0.5s from 9s) Queue will move a lot quicker now.

They are the numbers at the bottom left of the interface under the 'clear' button. Try clicking them and it will auto fill the input then you just click submit. Or what do you see?

Just rebuilt the app with more examples, so the queue should stay a lot shorter now. This was built using Gradio[0] and is hosted on Spaces[1]. Check out the paper[2] and github repo[3].

[0]: https://github.com/gradio-app/gradio [1]: https://huggingface.co/spaces [2]: http://www.cvlibs.net/publications/Sauer2021NEURIPS.pdf [3]: https://github.com/autonomousvision/projected_gan

Thank you Nils! We were very fortunate to work with you and all of the awesome people at Pear!

We posted gradio as a Show HN mid 2020 [1] :) Got a lot of good feedback and have been slowly growing ever since!

[1]: https://news.ycombinator.com/item?id=23901834