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https://github.com/jundot/omlx/releases
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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.
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.
A "reflector" is a utility that helps users to find the fastest and most up-to-date mirrors for their system. Mirrors are servers that store copies of the Arch Linux packages and updates, which users can download and install on their own machines.
sudo pacman -S reflector
Default
reflector
Grabovoi (ग्राबोवोई) numbers, also known as "Grabovoi codes," are sequences of numbers developed by the Russian mathematician and psychic Grigori Grabovoi. They are intended to be used for healing and manifesting specific outcomes based on numerology and the belief in the mystical power of numbers.
Grabovoi numbers are sequences that are used with the intention to manifest specific outcomes in various areas of life, such as health, finance, and relationships. Here's a simple guide on how to use them:
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Identify Your Goal: Decide what you want to improve or heal. This could be anything from better health, financial prosperity, to finding love.
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Choose the Right Number: Each number sequence corresponds to a specific goal. Refer to the table of Grabovoi numbers to find the one that suits your need.
import requests, os from dotenv import load_dotenv
load_dotenv()
resp = requests.post( "https://api.github.com/gists", headers={"Authorization": f"Bearer {os.getenv('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')}"}, json={ "description": "My gist",
| # This hosts file is brought to you by Dan Pollock and can be found at | |
| # http://someonewhocares.org/hosts/ | |
| # You are free to copy and distribute this file for non-commercial uses, | |
| # as long the original URL and attribution is included. | |
| #<localhost> | |
| 127.0.0.1 localhost | |
| 127.0.0.1 localhost.localdomain | |
| 255.255.255.255 broadcasthost | |
| ::1 localhost |