> These libraries mostly exist as "cope" > nothing more than fancy prompt chains under the hood Some approaches using steering vectors, clever ways of fine-tu

> These libraries mostly exist as "cope" > nothing more than fancy prompt chains under the hood Some approaches using steering vectors, clever ways of fine-tuning, transfer decoding, some tree search sampling-esque approaches, and others all seem very promising. DSPy is, yes, ultimately a fancy prompt chain. Even once we integrate some of the other approaches, I don't think it becomes a single-lever problem where we can only change one thing(e.g., fine-tune a model) and that solves all of our problems. It will likely always be a combination of the few most powerful levers to pull.