alt Hacker NewsI simply use it to de-anonymize code that I typed in via Claude
Maybe should write a plugin for it (open source):
1. Put in all your work related questions in the plugin, an LLM will make it as an abstract question for you to preview and send it
2. And then get the answer with all the data back
E.g. df[“cookie_company_name”] becomes df[“a”] and back
Replies
You're using it to anonymize your code, not de-anonymize someone's code. I was confused by your comment until I read the replies and realized that's what you meant to say.
Could you recommend a tiny language model I could try out locally?
Are you using the model to create a key-value pair to find/replace and then reverse to reanonymize, or are you using its outputs directly? If the latter, is it fast enough and reliable enough?
So you are using a local small model to remove identifying information and make the question generic, which is then sent to a larger model? Is that understanding correct?
I think this would have some additional benefits of not confusing the larger model with facts it doesn't need to know about. My erasing information, you can allow its attention heads to focus on the pieces that matter.
Requires further study.