Cem Turan cem2ran

## GM-level-chess-without-search.md

      
              1 file
            
          
              0 forks
            
          
              6 comments
            
          
              34 stars
            
          
                yoavg
                / GM-level-chess-without-search.md
            
            
              Last active
              April 16, 2024 00:56
            
              
                Grand-master Level Chess without Search
              
          
    Grand-master Level Chess without Search: Modeling Choices and their Implications

Yoav Golderg, February 2024.

Researchers at Google DeepMind released a paper about a learned systems that is able to play blitz-chess at a grandmaster level, without using search. This is interesting and imagination-capturing, because up to now computer-chess systems that play at this level, either based on machine-learning or not, did use a search component.[^1]
Indeed, my first reaction when reading the paper was to tweet wow, crazy and interesting. I still find it crazy and interesting, but upon a closer read, it may not be as crazy and as interesting as I initially thought. Many reactions on twitter, reddit, etc, were super-impressed, going into implications about projected learning abilities of AI systems, the ability of neural networks to learn semantics from observations, etc, which are really over-the-top. The paper does not claim any of them, but they are still perceiv

  
## rag-reranking-gpt.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              3 stars
            
          
                virattt
                / rag-reranking-gpt.ipynb
            
            
              Last active
              January 22, 2024 11:29
            
              
                rag-reranking-gpt.ipynb
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## postgresql_is_enough.md

      
              1 file
            
          
              150 forks
            
          
              36 comments
            
          
              1445 stars
            
          
                cpursley
                / postgresql_is_enough.md
            
            
              Last active
              April 26, 2024 18:27
            
              
                Postgres is Enough 
              
          
    PostgreSQL is Enough


Simplify: move code into database functions
Just Use Postgres for Everything
PostgreSQL is the worlds’ best database
Postgres is eating the database world
Hacker News discussion

Background and Cron Jobs


## inference_sdxl_dreambooth.py
from diffusers import DiffusionPipeline, StableDiffusionXLImg2ImgPipeline
import torch

model = "stabilityai/stable-diffusion-xl-base-1.0"
pipe = DiffusionPipeline.from_pretrained(
    model,
    torch_dtype=torch.float16,
)
pipe.to("cuda")
pipe.load_lora_weights("model/", weight_name="pytorch_lora_weights.safetensors")

## hn_sidebar.js
// A handy bookmarklet to display comments from the top-rated Hacker News thread related to the current page
// Written with the help of GPT-4

javascript:(function() {
  const createCommentElement = (comment, depth) => {
    const commentWrapper = document.createElement('div');
    commentWrapper.style.paddingLeft = (depth * 20) + 'px';
    commentWrapper.style.marginBottom = '10px';
    commentWrapper.style.marginLeft = '10px';
    commentWrapper.style.color = '#333';

## SSD.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              9 stars
            
          
                dienhoa
                / SSD.ipynb
            
            
              Created
              August 21, 2022 08:27
            
              
                SSD Implementation using fastai
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## createComponent.tsx
import { createComponent, Stack, Text, Theme, Events } from '@jsxui/react'

export type ButtonProps = {
  title: string
  background: Theme.Color
  color: Theme.Color
  stroke: {
    align: 'inside' | 'outside'
    size: number
    color: Theme.Color

## cheatsheet.ts
export type Await<T> = T extends PromiseLike<infer U> ? Await<U> : T;
export type IsPromise<T> = PromiseLike<infer U> ? true : false;

export type Length<T> = T extends { length: infer L } ? L : never;

export type KeysOfType<O, T> = {
    [K in keyof O]: O[K] extends T ? K : never;
}[keyof O];

// ConvertLiterals would convert literal types like `1337` to their base type like `number` if set to true

## feature-flags-client-implementation.md

      
              1 file
            
          
              1 fork
            
          
              2 comments
            
          
              36 stars
            
          
                threepointone
                / feature-flags-client-implementation.md
            
            
              Last active
              June 1, 2023 18:35
            
              
                Implementing a client for feature flags 
              
          
    On implementing a client for feature flags in your UI codebase

This document isn't an explainer on Feature Flags, you can find that with my amateur writeup, or literally hundreds of better writeups out there.
This document is also agnostic to the choice of service you'd use: LaunchDarkly or split.io or optimizely or whatever; that's orthogonal to this conversation.
Instead, this document is a list of considerations for implementing a client for using Feature Flags for User Interface development. Service providers usually give a simple fetch and use client and that's it; I contend that there's a lot more to care about. Let's dive in.
To encourage usage, we'd like for the developer experience to be as brutally simple as possible. So, this should be valid usage:

  
## flappy.html
<body onload=z=c.getContext`2d`,setInterval(`c.width=W=150,Y<W&&P<Y&Y<P+E|9<p?z.fillText(S++${Y=`,9,9|z.fillRect(p`}*0,Y-=--M${Y+Y},P+E,9,W),P))):p=M=Y=S=6,p=p-6||(P=S%E,W)`,E=49) onclick=M=9><canvas id=c>
	from diffusers import DiffusionPipeline, StableDiffusionXLImg2ImgPipeline
	import torch

	model = "stabilityai/stable-diffusion-xl-base-1.0"
	pipe = DiffusionPipeline.from_pretrained(
	model,
	torch_dtype=torch.float16,
	)
	pipe.to("cuda")
	pipe.load_lora_weights("model/", weight_name="pytorch_lora_weights.safetensors")
	// A handy bookmarklet to display comments from the top-rated Hacker News thread related to the current page
	// Written with the help of GPT-4

	javascript:(function() {
	const createCommentElement = (comment, depth) => {
	const commentWrapper = document.createElement('div');
	commentWrapper.style.paddingLeft = (depth * 20) + 'px';
	commentWrapper.style.marginBottom = '10px';
	commentWrapper.style.marginLeft = '10px';
	commentWrapper.style.color = '#333';
	import { createComponent, Stack, Text, Theme, Events } from '@jsxui/react'

	export type ButtonProps = {
	title: string
	background: Theme.Color
	color: Theme.Color
	stroke: {
	align: 'inside' \| 'outside'
	size: number
	color: Theme.Color
	export type Await<T> = T extends PromiseLike<infer U> ? Await<U> : T;
	export type IsPromise<T> = PromiseLike<infer U> ? true : false;

	export type Length<T> = T extends { length: infer L } ? L : never;

	export type KeysOfType<O, T> = {
	[K in keyof O]: O[K] extends T ? K : never;
	}[keyof O];

	// ConvertLiterals would convert literal types like `1337` to their base type like `number` if set to true