A deep dive into the methods and takeaways I realized alongside the best way
Final month, I had the unimaginable honor of profitable Singapore’s first ever GPT-4 Immediate Engineering competitors, which introduced collectively over 400 prompt-ly sensible contributors, organised by the Authorities Expertise Company of Singapore (GovTech).
Immediate engineering is a self-discipline that blends each artwork and science — it’s as a lot technical understanding as it’s of creativity and strategic pondering. This text is a compilation of the immediate engineering methods and insights that I realized alongside the best way, that push any LLM to do precisely what you want and extra!
This text covers the next, with 🟢 referring to beginner-friendly prompting strategies whereas 🟠 refers to superior methods:
Efficient immediate structuring is essential for eliciting optimum responses from an LLM. The CO-STAR framework, a brainchild of GovTech Singapore’s Information Science & AI workforce, is a helpful template for structuring prompts. It considers all the important thing points that affect the effectiveness and relevance of an LLM’s response, resulting in extra optimum responses.
Right here’s the way it works:
(C) Context: Present background data on the duty.
This helps the LLM perceive the particular situation being mentioned, guaranteeing its response is related and aligned together with your expectations.
(O) Goal: Outline what the duty is that you really want the LLM to carry out.