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User finds 20-min prompt engineering shortcut over 9-hour Google course

A user found a significantly shorter method to learn prompt engineering for large language models, bypassing a lengthy Google course. The user suggests treating LLMs more like compilers than search engines and outlines a five-step process for achieving optimal outputs: defining the task with a persona, providing context, including references, evaluating the results, and iterating. AI

IMPACT Offers a more efficient approach to learning prompt engineering for LLMs.

RANK_REASON User commentary on a course and alternative learning method.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User finds 20-min prompt engineering shortcut over 9-hour Google course

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    I almost spent 9 hours on a Google Prompt Engineering course but found a 20-min shortcut instead. 😅 If you really want to learn to break the system, you have to

    I almost spent 9 hours on a Google Prompt Engineering course but found a 20-min shortcut instead. 😅 If you really want to learn to break the system, you have to stop treating LLMs like basic search engines. Treat them like compilers. The 5-step formula for perfect outputs: 1️⃣ Ta…