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- In AI Features
DeepMind’s Gato is the Swiss Army Knife of AI models
Gato is a multi-modal, multi-task, multi-embodiment generalist policy.
Image by Analytics India Magazine
- By Avi Gopani
The arrival of deep neural networks has been a watershed moment in artificial intelligence history. We have made huge strides in natural language understanding and object recognition in a short period. However, we don't have AI models that do both.
Enter Gato.
DeepMind has leveraged the advances in large-scale language modelling to build a single generalist agent beyond the scope of text outputs. Gato is a multi-modal, multi-task, multi-embodiment generalist policy: The same network with the same weights can play Atari, caption images, chat and stack blocks with a real robot arm.
How does Gato work?
To train Gato, the researchers collected data from different tasks and modalities. The data was then serialized into a flat sequence of tokens, then batched and processed by a
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Avi Gopani
Avi Gopani is a technology journalist that seeks to analyse industry trends and developments from an interdisciplinary perspective at Analytics India Magazine. Her articles chronicle cultural, political and social stories that are curated with a focus on the evolving technologies of artificial intelligence and data analytics.
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