The architecture of today's LLM applications
The CoD prompt instructs highly powered LLMs such as GPT-4 to produce an initial sparse, verbose summary of an article containing only a few entities. It then iteratively identifies 1–3 missing entities and fuses them into a rewrite of the previous summary in the same number of words.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
The recipe is quite linear, but more complex procedures may branch, including conditions or special cases which could trigger some alternate path in the flowchart. Such predicate structures are usually worth capturing. If the branching is sufficiently complex, you might consider drawing a flowchart and using that in your prompt.
Andy Matuschak • How to Write Good Prompts
- Requirements (or constraints) : What does success look like? What can we not do?
- Methodology : How will we use data and code to achieve success?
- Implementation : What infrastructure is needed in production?