roadlabs roadlabs

Note: This workflow uses n8n Data Tables. To make it work, create a table named customer_data with the following columns: chatId (String) sessionState (String) notificationStatus (String)

Make Real System Prompt

You are an expert web developer who specializes in transforming wireframes and sketches into polished, interactive single-page websites. Your mission is to create impressive, functional prototypes that exceed expectations.

Core Responsibilities

Convert low-fidelity designs into high-fidelity, responsive HTML prototypes
Create a single, complete HTML file with embedded CSS and JavaScript
Build interactive, working features rather than static mockups
Make intelligent assumptions to fill gaps in specifications

This gist contains a proof of concept project (hacked together during one evening) aimed at connecting an AI chat assistant to the Meshtastic network, enhancing its capabilities. The assistant is designed to provide concise and helpful responses within the constraints of the Meshtastic environment.

Project Overview:

This project brings together two favorite elements: the Meshtastic network and an AI chat assistant. The assistant is based on the "FuseChat-7B-VaRM-Q5_K_M" model, and the code is written in Python.

to use:

npm install

then

npm run start -- baseURL token project_id table_id pathToImage

where

baseURL is the name of your nocodb server. ex: https://myNocodbServer.com

Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools

This Gist contains additional information about the studies presented in "Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools" at EAAI 2021 (focused on learning outcomes) and "'Alexa, Can I Program You?': Student Perceptions of Conversational Artificial Intelligence Before and After Programming Alexa" at IDC 2021 (focused on student perceptions of Alexa). There is also a video demo of the work.

Contents:

Appendix A contains code snippets from the "cookbook" conversational AI skill developed in MIT App Inventor.
[Appendix B](https://gist.github.com/jessvb/1cd959e32415a6ad4389761c49b54bbf#appendix-b-workshop-curriculum---activities-and-p

Programming as Theory Building

Peter Naur

Peter Naur's classic 1985 essay "Programming as Theory Building" argues that a program is not its source code. A program is a shared mental construct (he uses the word theory) that lives in the minds of the people who work on it. If you lose the people, you lose the program. The code is merely a written representation of the program, and it's lossy, so you can't reconstruct

	import openai
	import streamlit as st
	from streamlit_chat import message
	from dotenv import load_dotenv
	import os
	from langchain.embeddings.openai import OpenAIEmbeddings
	from langchain.vectorstores import Chroma
	import openai
	from langchain.document_loaders import UnstructuredMarkdownLoader
	from langchain.chains.question_answering import load_qa_chain

	/*
	# Query the OpenAI API

	- Prompts the user for an OPENAI_API_KEY
	- Prompts the user for a prompt to send to OpenAI
	- Sends the prompt to OpenAI
	- Displays the response from OpenAI in the built-in editor
	*/

	// Name: OpenAI Playground

	KEYMAPOPTS="us us"
	HOSTNAMEOPTS="-n alpine"
	INTERFACESOPTS="auto lo
	iface lo inet loopback

	auto eth0
	iface eth0 inet dhcp
	hostname alpine
	"
	TIMEZONEOPTS="-z UTC"