Fine-tuning models, AI and Hollywood: A conversation with Oxen’s founder Greg

This post details the evolution of Oxen AI's platform, which started as a version control system for ML datasets and has expanded to include fine-tuning infrastructure. The core technical contribution is the integration of dataset versioning with compute infrastructure for end-to-end model ownership. It highlights the challenges of managing large model weights (e.g., 600GB DeepSeek models) and the need to tie specific dataset versions to model weights. The post discusses customer use cases in LLMs (accuracy, speed, privacy) and diffusion models (VFX, advertising), emphasizing the importance of fine-tuning for quality and customization. It also touches on the technical challenges of character and scene consistency in AI-generated video and the role of AI in accelerating VFX workflows.