positive
4 days agoNew EBind technique enables faster multimodal AI training on a single GPU
Encord introduced EBind, a new training approach paired with a large open multimodal dataset covering text, audio, video, images, and 3D point clouds. The method allows developers to train multimodal models on a single GPU within hours rather than the days typically required. According to Encord, the technique produces performance comparable to models many times larger by emphasizing parameter efficiency and higher quality data.
Companies:
- Encord
Tags:
- ai
- startup
Explore:Mutual Fund AI Screening
positive
4 days agoNew EBind technique enables faster multimodal AI training on a single GPU
Encord introduced EBind, a new training approach paired with a large open multimodal dataset covering text, audio, video, images, and 3D point clouds. The method allows developers to train multimodal models on a single GPU within hours rather than the days typically required. According to Encord, the technique produces performance comparable to models many times larger by emphasizing parameter efficiency and higher quality data.
Companies:
- Encord
Tags:
- ai
- startup
Explore:Mutual Fund AI Screening
1 min read
64 words
Encord’s EBind method and new multimodal dataset enable rapid single-GPU training, offering efficient model performance and broader access for smaller AI teams.
Encord introduced EBind, a new training approach paired with a large open multimodal dataset covering text, audio, video, images, and 3D point clouds. The method allows developers to train multimodal models on a single GPU within hours rather than the days typically required. According to Encord, the technique produces performance comparable to models many times larger by emphasizing parameter efficiency and higher quality data.
Encord introduced EBind, a new training approach paired with a large open multimodal dataset covering text, audio, video, images, and 3D point clouds. The method allows developers to train multimodal models on a single GPU within hours rather than the days typically required. According to Encord, the technique produces performance comparable to models many times larger by emphasizing parameter efficiency and higher quality data.
Companies:
- Encord
Tags:
- ai
- startup
- ai
- startup
- infrastructure
- machine learning
Nov 28, 2025 • 03:50