brian piercy bjpcjp

## LCD manufacturing metrics via ChatGPT
Skip to content

This is a copy of a conversation between ChatGPT & Anonymous.
You said:
In the field of semiconductor manufacturing, “d0” is a key defect per unit  barea metric and closely guarded by foundries. Does a similar metric exist for LCD manufacturing?
ChatGPT said:

Yes — LCD (more precisely TFT-LCD) manufacturing uses analogous “defect-per-area” metrics, but in practice the industry talks about a stack of yields + defect classes, rather than a single universally-cited “d0” number the way IC folks do.
The closest LCD analog to semiconductor D0
1) TFT array defect density (defects per unit area on the glass)

## karate-club-analysis.html
<!DOCTYPE html>

<html lang="en">
<head><meta charset="utf-8"/>
<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
<title>karate-club-analysis</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<style type="text/css">
    pre { line-height: 125%; }
td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }

## gist:5723ffbc47cc3d8c406474005bef6ee7


Having tried a few of the Qwen 3 models now my favorite is a bit of a surprise to me: I'm really enjoying Qwen3-8B.

I've been running prompts through the MLX 4bit quantized version, mlx-community/Qwen3-8B-4bit. I'm using llm-mlx like this:

llm install llm-mlx
llm mlx download-model mlx-community/Qwen3-8B-4bit

This pulls 4.3GB of data and saves it to ~/.cache/huggingface/hub/models--mlx-community--Qwen3-8B-4bit.

## LLM benchmarks.md

      
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                bjpcjp
                / LLM benchmarks.md
            
            
              Created
              January 19, 2025 21:06
            
          
Group
Benchmark
Summary Explanation
Link


English
MMLU (EM)
Measures multi-task learning across diverse knowledge domains to evaluate language models' general academic proficiency.
MMLU Benchmark


English
MMLU-Redux (EM)
A reduced version of MMLU focusing on key topics or subsets of academic questions.
No dedicated link available.


## linux compgen cmnd options.md

      
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                bjpcjp
                / linux compgen cmnd options.md
            
            
              Created
              January 19, 2025 20:39
            
          
    The compgen command in Linux is a shell built-in used primarily for generating possible completions for commands, functions, files, or other shell elements. It is part of the Bash shell and is often utilized in scripts for tab-completion or command suggestion mechanisms.
Syntax:

compgen [option] [word]
Key Features:


## 10_oneliners.py
# https://www.kdnuggets.com/10-python-one-liners-change-coding-game

# 1. Lambda Functions
price_after_discount = lambda price: price*0.9


# 2. Map Operations on Lists
discounted_prices = list(map(price_after_discount, prices))


## d3js-bullet.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
margin: auto;
padding-top: 40px;
position: relative;
width: 800px;
}

## shell-best-practices.sh
#!/usr/bin/env bash

# source: https://sharats.me/posts/shell-script-best-practices/

set -o errexit
set -o nounset
set -o pipefail
if [[ "${TRACE-0}" == "1" ]]; then
    set -o xtrace
fi

## my first svg
<svg width="10" height="10">
  <rect x="0" y="0" width="10" height="10" fill="blue" />
</svg>

## pocket_json_prodmgmt_50_20220607
{"status"=>1, "complete"=>1, "list"=>{"3492948982"=>{"item_id"=>"3492948982", "resolved_id"=>"3492948982", "given_url"=>"https://www.practicalecommerce.com/tag/video-tools", "given_title"=>"", "favorite"=>"0", "status"=>"0", "time_added"=>"1638225235", "time_updated"=>"1654562695", "time_read"=>"0", "time_favorited"=>"0", "sort_id"=>0, "resolved_title"=>"Video Tools", "resolved_url"=>"https://www.practicalecommerce.com/tag/video-tools", "excerpt"=>"Video offers merchants a range of ways to engage customers and prospects. Here is a list of new and updated tools from video platforms and social media applications. There are tools for promoting products and producing shoppable videos and as well as for editing, live-streaming, and monetizing.", "is_article"=>"1", "is_index"=>"0", "has_video"=>"0", "has_image"=>"0", "word_count"=>"55", "lang"=>"en", "tags"=>{"ecommerce"=>{"item_id"=>"3492948982", "tag"=>"ecommerce"}, "prodmgmt"=>{"item_id"=>"3492948982", "tag"=>"prodmgmt"}, "tools"=>{"item_id"=>"3492948982", "tag"
	Skip to content

	This is a copy of a conversation between ChatGPT & Anonymous.
	You said:
	In the field of semiconductor manufacturing, “d0” is a key defect per unit barea metric and closely guarded by foundries. Does a similar metric exist for LCD manufacturing?
	ChatGPT said:

	Yes — LCD (more precisely TFT-LCD) manufacturing uses analogous “defect-per-area” metrics, but in practice the industry talks about a stack of yields + defect classes, rather than a single universally-cited “d0” number the way IC folks do.
	The closest LCD analog to semiconductor D0
	1) TFT array defect density (defects per unit area on the glass)
	<!DOCTYPE html>

	<html lang="en">
	<head><meta charset="utf-8"/>
	<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
	<title>karate-club-analysis</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
	<style type="text/css">
	pre { line-height: 125%; }
	td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
	span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }


	Having tried a few of the Qwen 3 models now my favorite is a bit of a surprise to me: I'm really enjoying Qwen3-8B.

	I've been running prompts through the MLX 4bit quantized version, mlx-community/Qwen3-8B-4bit. I'm using llm-mlx like this:

	llm install llm-mlx
	llm mlx download-model mlx-community/Qwen3-8B-4bit

	This pulls 4.3GB of data and saves it to ~/.cache/huggingface/hub/models--mlx-community--Qwen3-8B-4bit.
Group	Benchmark	Summary Explanation	Link
English	MMLU (EM)	Measures multi-task learning across diverse knowledge domains to evaluate language models' general academic proficiency.	MMLU Benchmark
English	MMLU-Redux (EM)	A reduced version of MMLU focusing on key topics or subsets of academic questions.	No dedicated link available.
	# https://www.kdnuggets.com/10-python-one-liners-change-coding-game

	# 1. Lambda Functions
	price_after_discount = lambda price: price*0.9


	# 2. Map Operations on Lists
	discounted_prices = list(map(price_after_discount, prices))
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>
	body {
	font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
	margin: auto;
	padding-top: 40px;
	position: relative;
	width: 800px;
	}
	#!/usr/bin/env bash

	# source: https://sharats.me/posts/shell-script-best-practices/

	set -o errexit
	set -o nounset
	set -o pipefail
	if [[ "${TRACE-0}" == "1" ]]; then
	set -o xtrace
	fi
	<svg width="10" height="10">
	<rect x="0" y="0" width="10" height="10" fill="blue" />
	</svg>