Author: RyAnne Graff
Date: July 10, 2025
License: CC BY 4.0
Co-developed with assistance from ChatGPT (OpenAI).
Title: Notes on QKV Attention and Training Dynamics
Introduction
Author: RyAnne Graff
Date: July 10, 2025
License: CC BY 4.0
Co-developed with assistance from ChatGPT (OpenAI).
Title: Notes on QKV Attention and Training Dynamics
Introduction
This document presents a structured methodology for iteratively refining AI-generated outputs to align with a reference standard while minimizing deviation. The approach integrates quantitative deviation measurement, targeted refinement techniques, and iterative convergence to enhance consistency across multiple AI-generated outputs. This framework applies to image generation, text-based AI outputs, procedural content generation, and other AI-assisted creative or computational tasks.
To assess the difference between an AI-generated output and a reference standard, a structured deviation scoring method is used. Each output is evaluated across multiple categories, with a weighted deviation score assigned based on observed variance.
export class ParamWithMeta extends CfnParameter { | |
constructor( | |
scope: Construct, | |
id: string, | |
props?: { label?: string; group?: string } & CfnParameterProps | |
) { | |
const { label = id, group = 'Parameters', ...paramProps } = props || {}; | |
super(scope, id, paramProps); |
_ ___ ___ ___ ___ _ ___ _____ | |
/_\ / __|/ __|_ _|_ _| /_\ | _ \_ _| | |
/ _ \\__ \ (__ | | | | / _ \| / | | | |
/_/_\_\___/\___|___|___|_/_/_\_\_|_\ |_| | |
|_ _/ __| /_\ | _ ) __/ __|_ _| | |
| |\__ \ / _ \ | _ \ _|\__ \ | | | |
|___|___/ /_/ \_\_|___/___|___/_|_|__ _ | |
| _ \ _ \ /_\ / __|_ _|_ _/ __| __| | | |
| _/ / / _ \ (__ | | | | (__| _||_| | |
|_| |_|_\/_/ \_\___| |_| |___\___|___(_) |
import T from 'prop-types'; | |
import React, {PureComponent} from 'react'; | |
export default class DragDropItem extends PureComponent { | |
static propTypes = { | |
active: T.bool, | |
dataType: T.string, | |
data: T.string, | |
draggable: T.bool, | |
dropZone: T.bool, |
#!/bin/bash | |
# See: https://www.conventionalcommits.org/en/v1.0.0 | |
read -p 'Type: ' TYPE | |
read -p 'Subject: ' SUBJECT | |
read -p 'Message: ' MESSAGE | |
git add . | |
git commit -m "${TYPE}: (${SUBJECT}) ${MESSAGE}" | |
git push |
[{"chunks":[{"content":"@@ -1,6 +1,6 @@","changes":[{"type":"normal","normal":true,"ln1":1,"ln2":1,"content":" {"},{"type":"normal","normal":true,"ln1":2,"ln2":2,"content":" \"name\": \"booklets-desktop\","},{"type":"del","del":true,"ln":3,"content":"- \"version\": \"1.1.0\","},{"type":"add","add":true,"ln":3,"content":"+ \"version\": \"1.1.1\","},{"type":"normal","normal":true,"ln1":4,"ln2":4,"content":" \"lockfileVersion\": 1,"},{"type":"normal","normal":true,"ln1":5,"ln2":5,"content":" \"requires\": true,"},{"type":"normal","normal":true,"ln1":6,"ln2":6,"content":" \"dependencies\": {"}],"oldStart":1,"oldLines":6,"newStart":1,"newLines":6}],"deletions":1,"additions":1,"from":"package-lock.json","to":"package-lock.json","index":["af5bc9f..0391f1e","100644"]},{"chunks":[{"content":"@@ -1,6 +1,6 @@","changes":[{"type":"normal","normal":true,"ln1":1,"ln2":1,"content":" {"},{"type":"normal","normal":true,"ln1":2,"ln2":2,"content":" \"name\": \"booklets-desktop\","},{"type":"del","del":true,"ln":3,"c |
{ | |
"expectUserResponse": true, | |
"expectedInputs": [ | |
{ | |
"possibleIntents": [ | |
{ | |
"intent": "actions.intent.MAIN" | |
} | |
], | |
"inputPrompt": { |
import T from 'prop-types'; | |
import React, {Children, PureComponent} from 'react'; | |
function getChildMapPropObject(child = {}) { | |
const newProps = {}; | |
const {type, props: {children: propValue} = {}} = child; | |
if (typeof type === 'string') { | |
newProps[type] = propValue; | |
} |