Tina Huang. Tina compresses Google's full prompting course into the two things a library actually stores: a five-part task/context/references/evaluate/iterate framework, and four named iteration moves to tighten a prompt over time. She also walks through agent and chain-of-thought patterns, so the same video doubles as the entry point for the more advanced templates you'll add to the library later.
Tina compresses Google's full prompting course into the two things a library actually stores: a five-part task/context/references/evaluate/iterate framework, and four named iteration moves to tighten a prompt over time.
Continue through the same learning path with the next curated companion videos.