Large-scale training of generative models on video and image data is explored, utilizing text-conditional diffusion models. A transformer architecture operates on video and image latent codes to enable generation of high-fidelity video. Sora, the largest model, can generate a minute of video. Scaling video generation models shows promise for building general purpose simulators of the physical world.
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Large-Scale Training of Generative Models
We explore training text-conditional diffusion models jointly on videos and images of variable durations, resolutions, and aspect ratios using a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high-fidelity video. Scaling video generation models is a promising path towards building general-purpose simulators of the physical world.
AI Solutions for Your Company
If you want to evolve your company with AI and stay competitive, consider using video generation models as world simulators to your advantage.
Practical Steps for AI Integration
- Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
- Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
- Select an AI Solution: Choose tools that align with your needs and provide customization.
- Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.
AI KPI Management
For AI KPI management advice, connect with us at hello@itinai.com. For continuous insights into leveraging AI, stay tuned on our Telegram channel or Twitter.
Spotlight on a Practical AI Solution
Consider the AI Sales Bot from itinai.com/aisalesbot designed to automate customer engagement 24/7 and manage interactions across all customer journey stages.
Discover how AI can redefine your sales processes and customer engagement. Explore solutions at itinai.com.
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