DSPy represents a significant advancement in the field of AI software development. However, its complexity can make it challenging to fully comprehend. This document aims to clarify the foundational principles of DSPy and outline its core tenets.
The central thesis of DSPy is that while large language models (LLMs) and their methodologies will continue to evolve, this progress will not be uniform across all dimensions. Therefore, it is essential to identify:
- The minimal set of fundamental abstractions that enable the development of downstream AI software that is "future-proof" and capable of adapting to advancements.