These are NOT product / license keys that are valid for Windows activation.
These keys only select the edition of Windows to install during setup, but they do not activate or license the installation.
Updated: September 2026
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.
This document provides instructions for the MBZUAI online screening exam. Follow these guidelines carefully to ensure a smooth exam experience.
The 60-minute online screening exam is automated with AI proctoring to ensure fairness and transparency. The exam details, including questions, are confidential and must not be shared. Breaching confidentiality will affect admission status and future studies at the university.
| #include <stdio.h> | |
| #include <stdint.h> | |
| #include <assert.h> | |
| #define DATA_SIZE 2052 | |
| float decode(uint16_t float16_value) | |
| { | |
| // MSB -> LSB | |
| // float16=1bit: sign, 5bit: exponent, 10bit: fraction |