The concept of Natural Language Programming involves writing solutions in natural language and letting the Large Language Model (LLM) and LLM agents figure it out.
DSPy (Declarative Self-improving Python) is a framework that allows writing compositional Python code to teach the LM to deliver high-quality outputs.
DSPy uses a modular approach to create self-contained modules that can be used as fuzzy tools to solve problems.
This approach is being used to solve real-world problems that are difficult for current LLM-based solutions, offering a Pythonic way to solve coding problems.