Runway AlephRunway
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TabFMGoogle
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About
Runway Aleph is a state‑of‑the‑art in‑context video model that redefines multi‑task visual generation and editing by enabling a vast array of transformations on any input clip. It can seamlessly add, remove, or transform objects within a scene, generate new camera angles, and adjust style and lighting, all guided by natural‑language instructions or visual prompts. Built on cutting‑edge deep‑learning architectures and trained on diverse video datasets, Aleph operates entirely in context, understanding spatial and temporal relationships to maintain realism across edits. Users can apply complex effects, such as object insertion, background replacement, dynamic relighting, and style transfers, without needing separate tools for each task. The model’s intuitive interface integrates directly into Runway’s existing Gen‑4 ecosystem, offering an API for developers and a visual workspace for creators.
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About
TabFM is a zero-shot foundation model for tabular data, designed to simplify classification and regression workflows that traditionally require manual model training, hyperparameter tuning, and domain-specific feature engineering. Built specifically for tables, TabFM reframes tabular prediction as an in-context learning problem: instead of fitting a new supervised model to each dataset, it takes historical training examples and target testing rows together as one unified prompt, then interprets relationships between columns and rows at inference time. Because tables are two-dimensional and orderless, TabFM uses a hybrid architecture that combines alternating row and column attention, row compression, and a dedicated Transformer for in-context learning over compressed row embeddings. This design lets the model capture complex feature interactions and dependencies while keeping prediction computationally efficient for larger datasets.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Video editors, VFX artists and creative studios wanting a solution providing advanced, in‑context video generation and transformative scene edits
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Audience
Data scientists and analytics teams that need accurate tabular classification and regression without repetitive training, tuning, and feature-engineering work
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationRunway
Founded: 2018
United States
runwayml.com/research/introducing-runway-aleph
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Company InformationGoogle
Founded: 1998
United States
research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/
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Categories |
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Integrations
Fuser
Gen-4
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