Difference between revisions of "Gato"
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* [http://ai.google/tools/ Google's Tools and Resources] | * [http://ai.google/tools/ Google's Tools and Resources] | ||
* [[Google]] | * [[Google]] | ||
| + | * [[Attention]] Mechanism ...[[Transformer]] Model ...[[Generative Pre-trained Transformer (GPT)]] | ||
* [http://storage.googleapis.com/deepmind-media/A%20Generalist%20Agent/Generalist%20Agent.pdf A Generalist] [[Agents|Agent]] | S. Reed, K. Żołna, E. Parisotto, S. Gómez Colmenarejo, A. Novikov, G. Barth-Maron, M. Giménez, Y. Sulsky, J. Kay, J. Springenberg, T. Eccles, J. Bruce, A. Razavi, A. Edwards, N. Heess, Y. Chen, R. Hadsell, O. Vinyals, M. Bordbar and N. de Freitas - DeepMind | * [http://storage.googleapis.com/deepmind-media/A%20Generalist%20Agent/Generalist%20Agent.pdf A Generalist] [[Agents|Agent]] | S. Reed, K. Żołna, E. Parisotto, S. Gómez Colmenarejo, A. Novikov, G. Barth-Maron, M. Giménez, Y. Sulsky, J. Kay, J. Springenberg, T. Eccles, J. Bruce, A. Razavi, A. Edwards, N. Heess, Y. Chen, R. Hadsell, O. Vinyals, M. Bordbar and N. de Freitas - DeepMind | ||
* [http://www.louisbouchard.ai/deepmind-gato/ Deepmind's new model Gato is amazing! | Louis Bouchard] | * [http://www.louisbouchard.ai/deepmind-gato/ Deepmind's new model Gato is amazing! | Louis Bouchard] | ||
Revision as of 10:29, 19 March 2023
YouTube search... ...Google search
- Google's Tools and Resources
- Attention Mechanism ...Transformer Model ...Generative Pre-trained Transformer (GPT)
- A Generalist Agent | S. Reed, K. Żołna, E. Parisotto, S. Gómez Colmenarejo, A. Novikov, G. Barth-Maron, M. Giménez, Y. Sulsky, J. Kay, J. Springenberg, T. Eccles, J. Bruce, A. Razavi, A. Edwards, N. Heess, Y. Chen, R. Hadsell, O. Vinyals, M. Bordbar and N. de Freitas - DeepMind
- Deepmind's new model Gato is amazing! | Louis Bouchard
DeepMind's “generalist” AI model inspired by progress in large-scale language modeling, we apply a similar approach towards building a single generalist agent beyond the realm of text outputs. The agent, which we refer to as Gato, works as a multi-modal, multi-task, multi-embodiment generalist policy. The same network with the same weights can play Atari, caption images, chat, stack blocks with a real robot arm and much more, deciding based on its context whether to output text, joint torques, button presses, or other tokens.
Gato has 16 Attention Heads...
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