Large Code Model

Large code models (LCMs) are AI systems trained on massive code datasets to perform various programming tasks, aiming to automate and improve software development. Current research focuses on improving LCM performance through techniques like fine-tuning with carefully curated datasets (e.g., using API-guided synthesis), specializing models for specific programming languages or hardware constraints (e.g., creating smaller models for desktop deployment), and enhancing their understanding of programming concepts. These advancements hold significant potential for accelerating software development, enabling no-code/low-code programming paradigms, and improving code quality through automated error correction and bug detection.