| #!/bin/bash | |
| DEBIAN_FRONTEND="noninteractive" | |
| # Default values for parameters | |
| DEFAULT_PHP_VERSION=8.4 | |
| DEFAULT_NODE_VERSION=24 | |
| DEFAULT_DOMAIN="example.test" | |
| DEFAULT_USER="example" | |
| DEFAULT_MYSQL_PASSWORD=$(openssl rand -base64 10) |
| #EXTM3U | |
| #EXTINF:0 group-title="General",13 C | |
| #EXTGRP:General | |
| #EXTVLCOPT:network-caching=1000 | |
| http://181.78.79.131:8000/play/a0pm | |
| #EXTINF:0 group-title="Entretenimiento",A&E HD | |
| #EXTGRP:Entretenimiento | |
| #EXTVLCOPT:network-caching=1000 | |
| http://181.78.79.131:8000/play/a0mt | |
| #EXTINF:0 group-title="Entretenimiento",AE Mundo |
The purpose of this guidebook is to lay down principles and guidelines for how to write code and work together at Our Machinery.
Each guideline in this document is identified by a unique identifier (OMG-META-1) as well as
a name (Guidelines are identified by unique identifiers). Names may change, but identifiers are
permanent and can be used to permanently and uniquely refer to a specific guideline.
Also, check out Advanced Angular Component Patterns on Egghead!
* Titles subject to change
| React | Angular |
|---|---|
| Introducing Advanced React Component Patterns | 00 Introducing Advanced Angular Component Patterns (egghead) |
| Build a Toggle Component (source) | 01 Build a Toggle Component (stackblitz) ([egghead](https: |
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.
| btkitty | |
| 知名的BT磁力搜索，资源很多 | |
| http://cnbtkitty.com/ | |
| 备用域名：http://btkitty.fyi/ | |
| idope.se | |
| 资源丰富的BT磁力搜索，并且大多数速度下载速度很快 | |
| https://idope.se/ |
| UEFI Protocol Detected | |
| -------------------------------------------------------------------------------- | |
| String Packages | |
| -------------------------------------------------------------------------------- | |
| Offset: Language: | |
| -------------------------------------------------------------------------------- | |
| 0x7093F en-US |
Universidad de San Carlos de Guatemala
Facultad de Ingeniería
Escuela de Ingeniería en Ciencias y Sistemas
Curso: Laboratorio de Comunicación Asertiva
Grupo: 4
Integrantes:
Kerner Baltazar Tún Xón-202505239
Aimar Emmanuel Barrios González-202502967
[Nombre del integrante 3]
Universidad de San Carlos de Guatemala
Facultad de Ingeniería
Escuela de Ingeniería en Ciencias y Sistemas
Curso: Laboratorio de Comunicación Asertiva
Grupo: 4
Integrantes:
Kerner Baltazar Tún Xón-202505239
[Nombre del integrante 2]
[Nombre del integrante 3]
