AI Code Evaluation and Annotation for LLM Training
This project involved evaluating and annotating AI-generated code responses for large-scale language model training. I reviewed snippets written in various programming languages such as Swift, SQL, and Ruby, identifying logical errors, formatting issues, and code inefficiencies. Each response was assessed for functionality, accuracy, and adherence to best practices.