The most comprehensive community and platform reference for ChatGPT slash commands, pseudo-commands, workflow triggers, and power-user prompting systems.
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| ffmpeg -hide_banner -i image.jpeg -compression_level 100 out/image.jpeg |
| Nokia : | |
| http://{s}.maptile.maps.svc.ovi.com/maptiler/v2/maptile/newest/normal.day/{z}/{x}/{y}/256/png8 | |
| MapQuest : | |
| http://a.tile.openstreetmap.org/{z}/{x}/{y}.jpg | |
| http://otile1.mqcdn.com/tiles/1.0.0/map/{z}/{x}/{y}.jpg | |
| http://otile1.mqcdn.com/tiles/1.0.0/sat/{z}/{x}/{y}.jpg |
| Nokia : | |
| http://{s}.maptile.maps.svc.ovi.com/maptiler/v2/maptile/newest/normal.day/{z}/{x}/{y}/256/png8 | |
| MapQuest : | |
| http://a.tile.openstreetmap.org/{z}/{x}/{y}.jpg | |
| http://otile1.mqcdn.com/tiles/1.0.0/map/{z}/{x}/{y}.jpg | |
| http://otile1.mqcdn.com/tiles/1.0.0/sat/{z}/{x}/{y}.jpg |
| #!/usr/bin/python3 | |
| # -*- coding: utf-8 -*- | |
| import json, random, requests, math | |
| from bs4 import BeautifulSoup | |
| import numpy as np | |
| header={ | |
| 'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36', | |
| "Content-Type": "application/json; charset=utf-8", | |
| } |
See how a minor change to your commit message style can make a difference.
git commit -m"<type>(<optional scope>): <description>" \ -m"<optional body>" \
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.
What this is: an unofficial workaround until CD PROJEKT RED or Valve fix this properly.
Supports only: bin/x64_dx12/witcher3.exe 5.0.0.1041720 (the 2026-09-29 "Remastered" update, Steam build 25575366, sha256 c272b2c2…c7e25). The script refuses any other file. The GOG exe passed the same hash check in one report, so it looks identical.
NVIDIA only.
- DLSS and DLSS-G need only this script. Building vkd3d-proton is only for ray tracing (
--rt). - On AMD, don't apply it. The DLSS patches do nothing useful there (with OptiScaler/fakenvapi they made the game exit in one report), and
--rtcrashes RADV while creating the RT pipelines. Details in #607.
1、debian、ubuntu更新并升级软件包
apt update && apt upgrade -y2、docker compose重新部署
docker compose down && docker compose up -d