dspy
Explore a framework designed to systematically optimize language model prompts and weights, significantly improving the efficiency of multi-stage language models. The system separates program flow from parameters, utilizing LM-driven algorithms to adjust prompts and weights according to specific metrics. It is compatible with models such as GPT-3.5 and GPT-4, offering consistently reliable and high-quality results and minimizing manual prompting. Ideal for those looking for a structured, iterative approach to building complex language model systems.
