Sequence models have skyrocketed in popularity for their ability to analyze data & predict what to do next. MIT’s "Diffusion Forcing" method combines the strengths of next-token prediction (like w/ChatGPT) & video diffusion (like w/Sora), training neural networks to handle corrupted data while predicting the next steps. This flexible, reliable sequence model helps produce higher-quality artificial videos and guides more precise decision-making for robots & AI agents: https://bit.ly/3BK2wWC Full
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Sequence models have skyrocketed in popularity for their ability to analyze data & predict what to do next. MIT’s "Diffusion Forcing" method combines the strengths of next-token prediction (like w/ChatGPT) & video diffusion (like w/Sora), training neural networks to handle corrupted data while predicting the next steps. This flexible, reliable sequence model helps produce higher-quality artificial videos and guides more precise decision-making for robots & AI agents: https://bit.ly/3BK2wWC Full
1.8K viewsOct 17, 2024
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