AI resource, usage, and/or data management + quality control on completions is/will be very important as more companies and SMBs adopt what is known to the public as AI now and in the future.
We’re building aicosts.ai for cost / resource management and would love to learn more about overall operations for managing multiple AI services + how you handle AI resource, usage, and/or data management + quality control on completions.
Personally, I believe the future is that more and more companies will adopt foundational models + fine-tuning models for specific domains will be preferred + applications on topic of those implementations will be very important requiring attention towards multiple AI resource management.
Very curious on the communities’ take on this topic? What should be the priority focus for actually advancement / progress in the space around resource management?