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Meta Prompting

In the Generative AI Age your ability to generate prompts is your ability to generate results.

Guide

Claude 3.5 Sonnet and o1 series models are recommended for meta prompting.

Replace {{user-input}} with your own input to generate prompts.

Use mp_*.txt as example user-inputs to see how to generate high quality prompts.

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Minimal Prompt Chainables

Sequential prompt chaining in one method with context and output back-referencing.

Files

• main.py - start here - full example using MinimalChainable from chain.py to build a sequential prompt chain
• chain.py - contains zero library minimal prompt chain class
• chain_test.py - tests for chain.py, you can ignore this
• requirements.py - python requirements

Setup

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Four Level framework for prompt engineering

Watch the breakdown here in a Q4 2024 prompt engineering update video

LLM library

Ollama

Level 1: Ad hoc prompt

• Quick, natural language prompts for rapid prototyping
• Perfect for exploring model capabilities and behaviors

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function onOpen(){
  // example send for Sheets
  sendGAMP("UA-XXXX-1", SpreadsheetApp.getActiveSpreadsheet().getUrl());
  
  // example send for Documents
  //sendGAMP("UA-XXXX-1", DocumentApp.getActiveDocument().getUrl());
  
  // example send for Forms *NOTE* getUrl not implemented yet in New Sheets
  //sendGAMP("UA-XXXX-1", FormApp.getActiveForm().getUrl());
}

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// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console