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Trace: • Arize Phoenix • Chainlit • WebGPT: Browser-Assisted Question Answering with Human Feedback
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palm_e [2026/03/30 21:01] – Add inline footnotes agentpalm_e [2026/03/30 22:23] (current) – Restructure: footnotes as references agent
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 PaLM-E injects continuous sensor observations directly into a pre-trained language model's embedding space. The largest variant combines:((https://arxiv.org/abs/2303.03378|Driess et al. "PaLM-E: An Embodied Multimodal Language Model" (2023))) PaLM-E injects continuous sensor observations directly into a pre-trained language model's embedding space. The largest variant combines:((https://arxiv.org/abs/2303.03378|Driess et al. "PaLM-E: An Embodied Multimodal Language Model" (2023)))
  
-  * **PaLM-540B**: A 540 billion parameter decoder-only language model+  * **PaLM-540B**: A 540 billion parameter decoder-only language model((https://arxiv.org/abs/2204.02311|Chowdhery et al. "PaLM: Scaling Language Modeling with Pathways" (2022)))
   * **ViT-22B**: A 22 billion parameter Vision Transformer encoder((https://arxiv.org/abs/2302.05442|Dehghani et al. "Scaling Vision Transformers to 22 Billion Parameters" (2023)))   * **ViT-22B**: A 22 billion parameter Vision Transformer encoder((https://arxiv.org/abs/2302.05442|Dehghani et al. "Scaling Vision Transformers to 22 Billion Parameters" (2023)))
  
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 | PaLM-E-562B | PaLM-540B | ViT-22B | 562B | | PaLM-E-562B | PaLM-540B | ViT-22B | 562B |
  
-===== References ===== 
- 
-  * [[https://arxiv.org/abs/2303.03378|Driess et al. "PaLM-E: An Embodied Multimodal Language Model" (2023)]] 
-  * [[https://palm-e.github.io|PaLM-E Project Page]] 
-  * [[https://arxiv.org/abs/2204.02311|Chowdhery et al. "PaLM: Scaling Language Modeling with Pathways" (2022)]] 
-  * [[https://arxiv.org/abs/2302.05442|Dehghani et al. "Scaling Vision Transformers to 22 Billion Parameters" (2023)]] 
  
 ===== See Also ===== ===== See Also =====
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   * [[chemcrow|ChemCrow: LLM Agent with Chemistry Tools]]   * [[chemcrow|ChemCrow: LLM Agent with Chemistry Tools]]
   * [[reasoning_via_planning|RAP: Reasoning via Planning]]   * [[reasoning_via_planning|RAP: Reasoning via Planning]]
 +
 +===== References =====
  
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