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| //These codes are licensed under CC0. | |
| using System; | |
| using System.Collections.Generic; | |
| //using RomajiReader; | |
| // var reader = Reader.Default; | |
| // Console.WriteLine(reader.Convert("shinkyoku"));//しゅんきょく | |
| // Console.WriteLine(reader.Convert("kappa"));//かっぱ | |
| // Console.WriteLine(reader.Convert("cinkya"));//しんきゃ | |
| // Console.WriteLine(reader.Convert("rweqqap"));//rうぇっくぁp | |
| // Console.WriteLine(reader.Convert("RWEQQAP"));//RうぇっくぁP |
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.
- IaaS指提供系统(可以自己选)或者储存空间之类的硬件,软件要自己手动装。PaaS提供语言环境和框架(可以自己选)。SaaS只能使用开发好的软件(卖软件本身,如税务会计、表格文字处理)。BaaS一般类似于非关系数据库,但各家不通用
- 云服务的特点:零前期成本 & 按需付费 & 弹性(类似于租,可随时多加、退掉;但没有残值)、高可用(放在机房中,不同AZ间水电隔离)
如果你想补充内容,建议优先给 free-for-dev 提PR,还能混个高星repo的contributor,没必要加到本列表里。
If you want to make improvements, I would recommend you contributing to free-for-dev rather than this list.
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title></title> | |
| <meta charset="utf-8" /> | |
| <script src="Scripts/jquery-1.9.1.min.js"></script> | |
| <link href="Content/bootstrap.min.css" rel="stylesheet" /> | |
| <script src="Scripts/isRockFx.js"></script> | |
| <script> | |
| $(function () { |
We're building a production-grade, simple and straight-forward 3D Game Engine for Windows, macOS and Linux (Ubuntu 24+). This is professional-grade software that needs to be stable, fully-tested, and real-world deployable. No hacks, no shortcuts - solid as a rock.
- Ask questions only when absolutely necessary - work autonomously
- IMRORTANT! DO NOT look outside of working directory or use other code on my computer as reference
- Start by asking question to determine engine name. Suggest a few
- Testing is of the utmost importance - use lots of unit tests (any framework, simple is good), run automated testing
- Setup a scene used for testing, which tests every single feature in the engine - all components, and entire scripting API
| brew install pandoc | |
| brew tap homebrew/cask | |
| brew install --cask basictex | |
| eval "$(/usr/libexec/path_helper)" | |
| # Update $PATH to include `/usr/local/texlive/2022basic/bin/universal-darwin` | |
| sudo tlmgr update --self | |
| sudo tlmgr install texliveonfly | |
| sudo tlmgr install xelatex | |
| sudo tlmgr install adjustbox | |
| sudo tlmgr install tcolorbox |
