How do you deal with the space continually evolving? Like, MCP changed major ways over the course of a few months, new models are released with significant capability upgrades every month, inference engines like llamacpp get updated multiple times a day. But organizations want to setup their frameworks and then maintain them. Will this let them do that?
Yes, our goal is to provide a stable, open source platform on top of the cutting-edge AI tools. We can systematically update dependencies as needed and ensure that outputs meet quality requirements.
We also have plans for eval features in the product so that users can measure the quality of changes over time, whether to their own project configs or actual LlamaFarm updates.
Yes, all that's a bit hand-wavy, I know. :-) But we do recognize the problem and have real ideas on solutions. But execution is everything. ;-)
