Scaling Data Insights
Scale is crucial for future improvements in model development, with a strong emphasis on the quality and type of data used. Teams are structured to focus on various aspects, including pre-training, controllability, and fine-tuning, while continuously adapting to enhance collaboration with creatives. The overall knowledge and iterative processes within the team play a significant role in building effective models.In this clip
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Unsupervised Learning
Ep 38: Runway CEO Cristobal Valenzuela on the Next Frontiers for AI Media and The Role of Human Taste in AI Filmmaking
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