rashidujang

AI infrastructure moves really quickly and best practices are constantly evolving so I was wondering what is HN's opinion on the best way to host custom AI models for inference in Q1 2024?

At my company, the functional specification documents of the system is kept in a server where new additions to said documentation would result in a new version of the document being uploaded with a 1.x version being incrementally added to the file name. This results in a messy folder structure and redundancy.

However, most of the people who need the documentation aren't developers nor necessarily even that tech-savvy.

What are some ways similar problems are combated in your own workplaces?