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

Greg Schoeninger, founder of Oxen AI, shares insights from his journey working in AI since 2012, starting with early deep learning efforts and his experience at IBM Watson. Schoeninger discusses the development of Oxen AI, initially a version control tool designed to manage large machine learning datasets, and its evolution into a platform for fine-tuning models with integrated compute infrastructure. Oxen AI's approach allows companies to maintain control over their models, addressing issues like accuracy, speed, and privacy. The platform is particularly useful in industries like Hollywood, where pixel-perfect quality is paramount, and in advertising, where agencies use it to fine-tune models for branding. Oxen AI collaborates with Baseten to streamline the training, fine-tuning, and deployment of models, providing users with an efficient, end-to-end solution. Schoeninger emphasizes the importance of understanding specific requirements before selecting AI models and highlights promising models, particularly from Alibaba, in text and video generation.

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