karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

dmitriy-chernysh

<resources xmlns:tools="http://schemas.android.com/tools">

    <style name="AppTheme.Material.NoActionBar" parent="Theme.Material3.Dark.NoActionBar">
        <item name="android:windowBackground">@color/colorWindowGreyBackground</item>

        <!-- Primary brand color. -->
        <item name="colorPrimary">@color/colorPrimary</item>
        <item name="colorOnPrimary">@color/colorWindowBackground</item>
        <item name="colorPrimaryContainer">@color/colorAccent</item>
        <item name="colorOnPrimaryContainer">@color/colorPrimaryDark</item>

DavidIbrahim

import androidx.compose.foundation.BorderStroke

/*
 * Copyright 2020 The Android Open Source Project
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0

bergmannjg

Building a react native app in WSL2

Install, build and debug a react native app in WSL2 (Windows Subsystem for Linux) and Ubuntu.

• Install tools in Windows
• Enable mirrored networking mode in WSL2
• Install tools in WSL2
• Connect to android hardware device from Windows
• Connect to android hardware device from WSL2
• Connect to android virtual device in Windows

farhanahmed95

import android.content.Context;
import android.os.Bundle;
import android.util.Log;
import android.view.View;
import androidx.annotation.IdRes;
import androidx.annotation.NonNull;
import androidx.annotation.Nullable;
import androidx.fragment.app.Fragment;
import androidx.fragment.app.FragmentFactory;
import androidx.fragment.app.FragmentManager;

ArthurNagy

package com.your.package

import android.app.Dialog
import android.os.Bundle
import com.your.package.R
import com.google.android.material.bottomsheet.BottomSheetDialog
import com.google.android.material.bottomsheet.BottomSheetDialogFragment

/**
 * BottomSheetDialog fragment that uses a custom 

nomanr

package noman.counterhelper;

import android.os.Bundle;
import android.support.v7.app.AppCompatActivity;
import android.view.View;
import android.widget.Button;
import android.widget.TextView;
/**
 * Created by Noman on 11/8/2016.
 */

eduncan911

#!/bin/bash
#
# GoLang cross-compile snippet for Go 1.6+ based loosely on Dave Chaney's cross-compile script:
# http://dave.cheney.net/2012/09/08/an-introduction-to-cross-compilation-with-go
#
# To use:
#
#   $ cd ~/path-to/my-awesome-project
#   $ go-build-all
#

protrolium

ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

You can get the list of installed codecs with:

tsuharesu

/**
 * This interceptor put all the Cookies in Preferences in the Request.
 * Your implementation on how to get the Preferences MAY VARY.
 * <p>
 * Created by tsuharesu on 4/1/15.
 */
public class AddCookiesInterceptor implements Interceptor {

    @Override
    public Response intercept(Chain chain) throws IOException {