3 ms·
as a developer, I can see a lot of tasks that an LLM would be useful for. In a large organization, new people get onboarded all the time, and generally they hav
by spiderxxxx 3y ago
as a developer, I can see a lot of tasks that an LLM would be useful for. In a large organization, new people get onboarded all the time, and generally they have the same exact questions, like 'how do i do a web request out of the proxy?' and 'how can I do multithreading' or 'how do i use library x for our use case y'? whereas an LLM can look at the code used throughout the business and offer suggestions like "hey, I see you're trying to make an https connection to an external site without using a proxy, try this instead". Getting enterprise code up to the enterprise standard, whatever that is, can be very useful. Personally, I'd love to go in depth with an AI on crazy ideas I have for code, and work through a lot of ideas before I implement something. For example, I might want to try different ways to accomplish the same task. I could write my version of it, and instead of rewriting it to try a different way, I might ask an LLM to rewrite it that other way, so I can check which way is better.
- soco 3y agoSo basically what the OP said, a next-gen search engine - trained on your code (rarely) or on SO (usually).
- eichin 3y agoThose all sound like great things to ask of an assistant tool - that ChatGPT isn't actually capable of answering. (I have lots of those too - things like "review this code" or even better and more specific, "given the description in this CVE, do we have any code that does this sort of thing too, that we should examine"? Fortunately for the perceived level of honesty in the field, noone appears to be claiming an LLM can do either of them.)