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.

0x00psilon

These instructions are Not Financial Advice.

1. Download your ethstaker.tax report with "Group by Date" selected and comma as the delimiter

2. Import to Excel/Google Sheets.

3. Create a new spreadsheet tab titled ETH Koinly.

   a. Create 4 columns named Koinly Date, Amount, Currency and Tag.

   b. [Optional]: By default we'll use Koinly's autocalculation of ETH's price on the day of the transaction. However, if instead you want to use ethstaker.tax 's ETH price - which is a little more accurate - then add two more additional columns, named Net Worth Amount and Net Worth Currency.

4. Copy the Date column from ethstaker.tax into the Koinly spreadsheet's Koinly Date column

bewithdhanu

🧹 OpenClaw Complete Uninstall Guide (All Platforms)

This guide covers all supported ways to fully remove OpenClaw, including cases where the CLI is missing but background services are still running.

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🟢 Path 1: Easy Path (CLI Still Installed)

Use this if the openclaw command still works.

dPacc

Private Docker Registry Setup Guide

A comprehensive guide for setting up a secure private Docker registry with authentication, UI, backup, and restoration capabilities.

Table of Contents

1. Prerequisites
2. Registry Setup
3. Authentication Setup
4. UI Configuration
5. Backup and Restoration

karpathy

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

victorsenam

Dicionário Git e GitHub

Os conceitos vão ser apresentados da forma mais básica possível para que se possa entender a ideia primordial do software. Os comandos serão baseados num terminal UNIX. Ou seja, funcionarão em linux e mac.

Links interessantes

http://rogerdudler.github.io/git-guide/index.pt_BR.html

Repositório

O repositório é a pasta do projeto. Todo repositório tem uma pasta oculta .git. Isso é o que mostra para o git e para você que existe um repositório naquela pasta.