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David Muir davgit

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  • Sydney, Australia. Mountain View, California, United States. Shenzhen, China
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davgit / 0_reuse_code.js
Last active August 29, 2015 14:25
Here are some things you can do with Gists in GistBox.
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console
@davgit
davgit / gist:1640595b7237feb978bdd27d628045f4
Created August 3, 2016 14:53 — forked from mhawksey/gist:9199459
Google Apps Script snippet to send tracking data to Google Analytics using the Measurement Protocol
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());
}
@davgit
davgit / README.md
Created November 25, 2024 14:36 — forked from disler/README.md
Four Level Framework for Prompt Engineering
@davgit
davgit / README_MINIMAL_PROMPT_CHAINABLE.md
Created November 26, 2024 12:29 — forked from disler/README_MINIMAL_PROMPT_CHAINABLE.md
Minimal Prompt Chainables - Zero LLM Library Sequential Prompt Chaining & Prompt Fusion

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

@davgit
davgit / README.md
Created December 9, 2024 15:27 — forked from disler/README.md
Use Meta Prompting to rapidly generate results in the GenAI Age

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.