Chapter
Predicting the Next Action and Observation Using Transformer Model
27:32 - 36:54 (09:21)
The transformer model is a type of recurrent neural network that can take a sequence of observations, which could be words or images, and actions to predict the next action and observation.
Clips
Gato, a DeepMind model, enables AI to learn language and discrete actions by using animal-named models based on large sequence models.
27:32 - 29:31 (01:58)
Summary
Gato, a DeepMind model, enables AI to learn language and discrete actions by using animal-named models based on large sequence models.
ChapterPredicting the Next Action and Observation Using Transformer Model
Episode#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
PodcastLex Fridman Podcast
This podcast discusses a transformer model that uses a sequence of modalities, such as observations and actions, to predict what the next action and observation will be.
29:31 - 33:05 (03:34)
Summary
This podcast discusses a transformer model that uses a sequence of modalities, such as observations and actions, to predict what the next action and observation will be. The model is more than just a language model and serves as an agent.
ChapterPredicting the Next Action and Observation Using Transformer Model
Episode#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
PodcastLex Fridman Podcast
This podcast discusses the definition of life and the distinguishing factors of an organism, as well as the point at which artificial intelligence becomes more than just a tool.
33:05 - 34:49 (01:44)
Summary
This podcast discusses the definition of life and the distinguishing factors of an organism, as well as the point at which artificial intelligence becomes more than just a tool. The conversation also touches on web-scale data sets and their applications.
ChapterPredicting the Next Action and Observation Using Transformer Model
Episode#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
PodcastLex Fridman Podcast
Gato, an AI agent trained on a diverse and challenging dataset, has the ability to control any environment it has been trained on, including 3D games, Atari games, robotics tasks, and more.
34:49 - 36:54 (02:04)
Summary
Gato, an AI agent trained on a diverse and challenging dataset, has the ability to control any environment it has been trained on, including 3D games, Atari games, robotics tasks, and more. However, it is not as proficient as its teachers in those environments.