Difference between revisions of "PaLM"

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* [[Prompt Engineering (PE)]]
 
* [[Prompt Engineering (PE)]]
 
* [[Foundation Models (FM)]]
 
* [[Foundation Models (FM)]]
* [[Singularity]] ... [[Moonshots]] ... [[Emergence]] ... [[Explainable / Interpretable AI]] ... [[Artificial General Intelligence (AGI)| AGI]] ... [[Inside Out - Curious Optimistic Reasoning]] ... [[Algorithm Administration#Automated Learning|Automated Learning]]
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* [[Singularity]] ... [[Artificial Consciousness / Sentience|Sentience]] ... [[Artificial General Intelligence (AGI)| AGI]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ... [[Algorithm Administration#Automated Learning|Automated Learning]]
 
* [https://ai.googleblog.com/2023/03/palm-e-embodied-multimodal-language.html PaLM-E: An embodied multimodal language model]
 
* [https://ai.googleblog.com/2023/03/palm-e-embodied-multimodal-language.html PaLM-E: An embodied multimodal language model]
 
* [https://www.boteatbrain.com/p/google-palm-e PaLM-E, Google's smartest new bot | Anthony Castrio - Bot Eat Brain]
 
* [https://www.boteatbrain.com/p/google-palm-e PaLM-E, Google's smartest new bot | Anthony Castrio - Bot Eat Brain]

Revision as of 01:19, 7 May 2023

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An Embodied Multimodal Language Model that directly incorporates real-world continuous sensor modalities into language models and thereby establishes the link between words and percepts. It was developed by Google to be a model for robotics and can solve a variety of tasks on multiple types of robots and for multiple modalities (images, robot states, and neural scene representations). PaLM-E is also a generally-capable vision-and-language model. It can perform visual tasks, such as describing images, detecting objects, or classifying scenes, and is also proficient at language tasks, like quoting poetry, solving math equations or generating code. 562B