How I Built and Shipped a 7B Code Review Model: A Distillation Postmortem
An individual developer details the process of creating and deploying a 7-billion parameter model specifically for code review. The project involved data scraping from pull requests, building an OpenAI-compatible API, and navigating significant dependency issues. The postmortem covers the entire pipeline, from initial data collection to the final live deployment. AI
IMPACT Details the practical steps and challenges in deploying a specialized LLM, offering insights for MLOps practitioners.