So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

This is a Python and Pyomo based implementation of the augmented ε-constraint (AUGMECON) method and its variants which can be used to solve multi-objective optimization problems, i.e., to return an ...