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New EBind Training Method and Multimodal Dataset Announced by Encord
Encord has introduced EBind, a training method that allows multimodal AI models to be trained on a single GPU within hours. The company also released one of the largest open multimodal datasets spanning text, images, video, audio, and 3D point clouds. EBind delivers results comparable to models far larger by emphasizing high-quality data and parameter efficiency.
Companies:
- Encord
Tags:
- ai
- startup
Explore:High Return Equity Mutual Fund
positive
New EBind Training Method and Multimodal Dataset Announced by Encord
Encord has introduced EBind, a training method that allows multimodal AI models to be trained on a single GPU within hours. The company also released one of the largest open multimodal datasets spanning text, images, video, audio, and 3D point clouds. EBind delivers results comparable to models far larger by emphasizing high-quality data and parameter efficiency.
Companies:
- Encord
Tags:
- ai
- startup
Explore:High Return Equity Mutual Fund
1 min read
56 words
Encord launches EBind and a large multimodal dataset enabling AI models to train on one GPU in hours with competitive performance.
Encord has introduced EBind, a training method that allows multimodal AI models to be trained on a single GPU within hours. The company also released one of the largest open multimodal datasets spanning text, images, video, audio, and 3D point clouds. EBind delivers results comparable to models far larger by emphasizing high-quality data and parameter efficiency.
Encord has introduced EBind, a training method that allows multimodal AI models to be trained on a single GPU within hours. The company also released one of the largest open multimodal datasets spanning text, images, video, audio, and 3D point clouds. EBind delivers results comparable to models far larger by emphasizing high-quality data and parameter efficiency.
Companies:
- Encord
Tags:
- ai
- startup
- ai
- startup
- infrastructure
- machine learning