Discover gists
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.
CrudZaso DB Manager es una plataforma web que permite a los usuarios crear y administrar bases de datos de forma remota desde una única interfaz.
Cada usuario podrá registrarse en la plataforma, autenticarse y administrar sus propias bases de datos. Cada base de datos será completamente independiente de las demás y contará con su propia configuración, credenciales de acceso y estado operativo.
La plataforma ofrecerá soporte para diferentes motores de bases de datos, permitiendo al usuario escoger el motor al momento de crear una nueva instancia.
- Open the application such that you see the icon on your screen.
- Open Activity Monitor
- Double click the name of the application (i.e. Finder or System Preferences)
- Select "Open Files and Ports"
- Copy the output to a file and then
grepfor.icns
Similarly you could run this command, but it may take several minutes to complete:
- Do not subscribe to all services at once, as most have limited validity periods for their credits. We recommend testing them one by one, moving to the next only after your current credits are exhausted.
- Register, verify your account, and claim your credits.
- Follow the specific documentation on each site to configure your coding tools.
- Keep your API keys secure and do not share them publicly.
1. OpenRouter - They have some Free models.
A list of resources that may help with modpack development. Also see LambdAurora's OptiFine alternatives, or Modrinth's list of modpack tools (I'll also shoutout PW-GUI, which is a tool that I use daily to develop an upcoming modpack).
Note
This list focuses on what mods can do, but you should also be familiar with the existing vanilla tools for your version. The Minecraft Wiki has tutorials on how to structure datapacks (loot tables, recipes, world generation, advancements, etc.) and resource packs (textures, language files, sounds, etc.). Also see Misode's data pack generators!
These tools allow for adding basic blocks and items without needing to write a mod
This document aims to be a comprehensive reference to players for how the generation 4 trainer AI behaves in battle. Each NPC trainer is assigned a set of flags, each of which determines the behavior of the AI. When considering what move to use on any given turn, the AI will initialize the "score" of all of its moves to 100. Then, it will apply score modifiers to each move according to the behavior flags given to it and choose the move with the highest score. If two moves are given the same score, then the chosen move will be selected from among them at-random.
This is a living document; the contents herein are subject to change for clarity or improved accuracy.
Information herein is sourced from the trainer AI scripts in pokeplatinum.
In general:
- Unless otherwise specified, none of these scores are cumulative within the scope of their respective flag. That is, if a move says that it is -10 for two different conditions within the Basic flag, the move is scored at -10,