ALBERTGoogle
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Odyssey-3Odyssey
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About
ALBERT is a self-supervised Transformer model that was pretrained on a large corpus of English data. This means it does not require manual labelling, and instead uses an automated process to generate inputs and labels from raw texts. It is trained with two distinct objectives in mind. The first is Masked Language Modeling (MLM), which randomly masks 15% of words in the input sentence and requires the model to predict them. This technique differs from RNNs and autoregressive models like GPT as it allows the model to learn bidirectional sentence representations. The second objective is Sentence Ordering Prediction (SOP), which entails predicting the ordering of two consecutive segments of text during pretraining.
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About
Odyssey-3 is a foundation world model and learned dynamical system that predicts how objects move and interact through space and how situations evolve over time. Implemented as an autoregressive diffusion transformer, it learns representations of physics, dynamics, and cause-and-effect from a broad dataset of visual observations and uses that knowledge to simulate environments and train policies for physical systems. Odyssey-3 can generate embodied environments from a prompt and predict in real time how they change as a person or agent acts or introduces events, with first-person and third-person navigation and independent camera movement. Its learned world knowledge can be adapted to different systems by training an action decoder or policy on paired observations and actions. With relatively small amounts of task-specific data, Odyssey-3 has been used to control robot arms, power humanoids, drive vehicles, and generate synchronized multi-sensor observations. It can also provide intera
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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iPhone
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Android
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI developers
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Audience
AI developers, teams, and researchers seeking to simulate dynamic environments, train agents, and adapt learned world knowledge to robots, vehicles, drones, and physical systems
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Support
Phone Support
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24/7 Live Support
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Support
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24/7 Live Support
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API
Offers API
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API
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Pricing
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Free Version
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Free Trial
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Pricing
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Free Version
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Reviews/
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Training
Documentation
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Webinars
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Live Online
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In Person
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Training
Documentation
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Company InformationGoogle
Founded: 1998
United States
github.com/google-research/albert
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Company InformationOdyssey
Founded: 2023
United States
odyssey.systems/meet-odyssey-3
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Integrations
Spark NLP
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