Friederike Niedtner

Joint Prompt Optimization of Stacked LLMs using Variational Inference

Large language models (LLMs) can be seen as atomic units of computation mapping sequences to a distribution over sequences. Thus, they can be seen as stochastic language layers in a language network, where the learnable parameters are the natural language prompts at each layer. By stacking two such…