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What if your client comes back? On a more practical note, what structure, formats and tools do you use that enable you to feed it to an LLM?
by parasti 2y ago
What if your client comes back?
On a more practical note, what structure, formats and tools do you use that enable you to feed it to an LLM?
- sumanthvepa 2y agoI'm usually contractually obligated to destroy all client IP that I may posses at the end of an engagement. My contracts usually specify that I will retain engagement specific information for a period of six months beyond the end of the contract. If they come back within that time, then I'll have prior context. Otherwise it's gone. Occasionally, a client does come back after a year or two, but most of the knowledge would have been obsolete and outdated anyway. As for LLMs. I have a couple of python scripts that concatenate files in the repo into a context that I pass to Google's Gemini API or Google AI studio, mostly the latter. It can get expensive in some situations. I don't usually load the whole repository. And I keep the chat context around so I can keep asking question around the same topic.