Abstract: History-driven testing techniques have been proven to be an effective method for detecting compiler bugs. It employs fuzzing history (e.g., historical test cases or historical execution ...

Welcome! This repository contains REST API tutorial samples that demonstrate how to use the Azure AI Content Understanding service directly via HTTP calls with thin Python convenience wrappers. These ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

Abstract: Large Language Models (LLMs) have recently shown promise in compiler optimizations such as loop vectorization and memory access restructuring. However, due to their generative nature, ...

If you came up building software in the 1990s or early 2000s, you remember the visceral satisfaction of determinism. You wrote code. The compiler analyzed it, optimized it, and emitted precisely the ...