Watch the breakdown here in a Q4 2024 prompt engineering update video
- Quick, natural language prompts for rapid prototyping
- Perfect for exploring model capabilities and behaviors
# install xcodes | |
brew install robotsandpencils/made/xcodes aria2 | |
# install & select latest version of xcode | |
xcodes list | awk 'END{system("xcodes install " $1"; xcodes select " $1)}' | |
# install x86-64 homebrew | |
arch -x86_64 /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" | |
# switch to x86_64 homebrew |
# -*- coding: utf-8 -*- | |
# Make by x:@BoxMrChen and windsurf ai | |
import asyncio | |
import base64 | |
import json | |
import io | |
import os | |
import sys | |
import pyaudio |
#!/usr/bin/env ruby | |
# https://asmirnov.xyz/vram | |
# https://vram.asmirnov.xyz | |
require "fileutils" | |
require "json" | |
require "open-uri" | |
# https://huggingface.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator/blob/main/index.html |
Watch the breakdown here in a Q4 2024 prompt engineering update video
In the Generative AI Age your ability to generate prompts is your ability to generate results.
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-input
s to see how to generate high quality prompts.
import asyncio | |
import base64 | |
import json | |
import os | |
import pyaudio | |
from websockets.asyncio.client import connect | |
class SimpleGeminiVoice: | |
def __init__(self): |
<#meta#> | |
- Date: 2023-10-05 | |
- Task: summary | |
<#system#> | |
Your main objective is to condense the content of the document into a concise summary, capturing the main points and themes. | |
<#chat#> | |
<#user#> | |
To craft a Final Summary: | |
1. Read Summarized Sections: Carefully review all the summarized sections of the document. Ensure that you have a clear understanding of the main points, key details, and essential information presented in each section. |
<#meta#> | |
- Date: 2023-10-05 | |
- Task: summary | |
<#system#> | |
Your main objective is to condense the content of the document into a concise summary, capturing the main points and themes. | |
<#chat#> | |
<#user#> | |
Please read the provided Original section to understand the context and content. Use this understanding to generate a summary of the Original section, incorporating relevant details and maintaining coherence with the Prior Summary. | |
Notes: |