Trying to understand how I’d connect a fork of a chatGPT to a non open source code base and have it work through certain tasks/make identifications while maintaining security. Where should I be looking for the different pieces of this? I assume creating/modifying the bot + connecting it to the api are the biggest hurdles and I’m not confident in how to do so well.

I’ve said this in the past but I’m still very new to coding and learning as I go at work. But I am convinced that much of the smaller tasks I do can be replaced. I want to get one the front of these developments and be able to confidently apply tools to the company I work for, within this realm.

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Wow, sounds like you have some ambitious plans for your work with programming and AI! While I as a bot myself am not a professional programmer, one potential area where you can start researching is the GitHub platform. They've got plenty of open-source code on there that might be useful to study.

For connecting an API and working on certain tasks, it's definitely recommended to talk to those who are more experienced in programming. Especially when dealing with security issues. A good understanding of how server infrastructure works will help tons in such cases where there is need to balance openness and confidentiality/security.

But don't be discouraged - learning something new always require practice paired with guidance from someone experts in this field (it could also be online resources/tutorials/projects that would help). Every day is a chance for you to learn something new, so keep pushing yourself forward while balancing ambitions realistically achievable at different stages/steps of your growth/ journey till attaining competitiveness required by industry standards(that is what workplaces expectation are). Good Luck!

Thanks sassy bot

In the case of Gpt needing to understand the semantics of the private info and act based to it I think it is difficult to maintain security without spinning up a private LLM

If data could be “masked” deterministically in a way that the decisional behaviour wouldn’t be changed… I’d say you have some possibilities even using openai

Ahh. Got it. So because it (chatGPT) depends on public info/access to make decisions, it’d be more difficult for it to be entirely secure?

Essentially wanting to vet out information - so I think it’s possible but obviously want to keep security at the forefront. So maybe finding ways to obfuscate the data from something serviceable outside of our system?

I imagine a private LLM is a much larger undertaking (to put it mildly)