John Jediny JJediny

Of course! Here is a detailed cheatsheet for the advanced parameters shown in your image. I've explained what each one does, when you should adjust it, and what kind of prompts or desired outputs would benefit most from tuning.

LLM Fine-Tuning Parameters Cheatsheet

This cheatsheet helps you understand and tune advanced parameters to control the output of a Large Language Model (LLM). The key is balancing coherence (makes sense, factual, predictable) with creativity (novel, diverse, unexpected).

Core Concepts: Sampling

The twelve-factor app checklist

Also factors in the four principles of modern Release Engineering

Identifiability Being able to identify all of the source, tools, environment, and other components that make up a particular release.
Reproducibility The ability to integrate source, third party components, data, and deployment externals of a software system in order to guarantee operational stability.
Consistency The mission to provide a stable framework for development, deployment, audit, and accountability for software components.
Agility The ongoing research into what are the repercussions of modern software engineering practices on the productivity in the software cycle, i.e. continuous integration.

Codebase

TTS Data Management Plan

Introduction

The goal of data architecture is to make any data driven organization more effective in the pursuit of its mission. It does this by incorporating the appropriate design in databases and data systems. This document starts with these facts and derives principles at various levels (as follows):

Level 1

This workflow diagram shows the sequence of processes carried out by data users. Some of these steps may be automated for the user and there may be multiple users in a single flow. Blue rectangles indicate data management processes, gray represents processes outside data management. In the end, the mission success depends on whether data and data systems were properly designed.

	#!/bin/bash

	AWS_ACCOUNT_ID=012345678901

	# Check if jq is installed
	if ! command -v jq &> /dev/null; then
	echo "Error: jq is not installed. Please install jq to parse JSON."
	exit 1
	fi

	serve:
	fork:
	port:
	exampleQuery:
	cors:
	origin:
	allowedHeaders:
	-
	exposedHeaders:
	-

	using System;
	#region Archer WebAPI Objects
	public static class Application
	{
	/// <summary>
	/// Agency System Inventory
	/// </summary>
	public static readonly Guid Agency_System_Inventory = new Guid("fbfbbd59-e993-46e6-8f31-64fe1cd0d92e");
	public static class Fields
	{

	#!/bin/bash
	LOGDIR=~/amdgpu-debug/logs/$timeNowLocal

	# debug mode
	set -euo pipefail
	set -x

	# Create folder for log session
	mkdir -p $LOGDIR
	cd $LOGDIR