Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...

DSPy (short for Declarative Self-improving Python) is an open-source Python framework created by researchers at Stanford University. Described as a toolkit for “programming, rather than prompting, ...

Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...