Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
AI Research
arXiv CS.AI·Aug 28·5 min read
Omni-Interactive Universal Embedder
TL;DR
OmniUE is a novel multimodal embedder that integrates text, video, and audio into a unified embedding space, enabling users to interact through various input forms. It outperforms existing models in multiple benchmarks, showcasing significant improvements in user-conditioned querying.
✦ Why It Matters
Explore OmniUE to enhance your multimodal applications and improve user interaction capabilities today.
Key Takeaways
- Implement OmniUE for improved multimodal interaction in applications.
- Utilize the OmniCHOIR benchmark for evaluating your models.
- Leverage learnable tokens for better representation learning.
- Explore user inputs across text, video, and audio for richer experiences.
How It Works
OmniUE integrates multiple modalities by learning a unified embedding space that combines text, video, and audio. It employs intermediate-layer representations from dedicated learnable tokens, allowing for effective processing of diverse user inputs.
Visual and audio segmenters work in tandem with an omni-LLM to produce contextually rich embeddings, enabling any-to-any interactions.