DSPy (Image hand-drawn by the author)Currently, building applications using large language models (LLMs) can be not only complex but also fragile. Typical pipelines are often implemented using prompts, which are hand-crafted through trial and error because LLMs are sensitive to how they are prompted. Thus, when you change a piece in your pipeline, such as the LLM or your data, you will likely weak