OpenPipe is a platform that allows users to capture their existing prompts and completions, and then use them to fine-tune a model specific to their use-case. This process enables the creation of highly performant models that excel at data extraction and classification tasks, even with significant world knowledge. By replacing traditional prompt-based approaches with auto-deployed fine-tuned models, OpenPipe aims to address the limitations of general-purpose LLMs such as slow performance and high costs. The platform provides an easy-to-use infrastructure for users to collect prompts and completions, train a model, and deploy it without requiring significant expertise in machine learning or deep learning.