UniEmbed

Multimodal unified encoder

Product category: Embedding / Representation learning

Applicable platforms: PyTorch/JAX, ONNX, Triton

Technical affiliation: Multimodal, Contrastive, Representation

Programming language affiliation: Python

Tags: #Multimodal #Embedding Product

Type: Embedding / Representation learning Vendor: xAI

UniEmbed encodes tables, time series, text, images to the same dimension representation space, using contrastive learning/distillation strategies to align semantic scales of different modalities, reducing downstream model input complexity. It supports modality missing robustness, delayed modality backfilling, cross-modality attention, seamless docking with FeatureHub/TempoForge. Particularly applicable to time series + text alerts, images + sensors, etc.; for decision systems, it can multimodalize environment states and feed into policy networks uniformly. Engineering supports ONNX/TensorRT export, inference layer can share cache, significantly reducing online costs.

Delivery method: Instant digital download after purchase
License: Single-user commercial license
Usage limit: One-time use
Support: Technical documentation provided in the delivery file; no human technical support included