
PaLM-E
An embodied multimodal language model

December 29th, 2024
About PaLM-E
PaLM-E is a decoder-only language model that generates textual completions autoregressively given a prefix or prompt. It is an embodied multimodal model that incorporates real-world continuous sensor modalities into language models, establishing a link between words and percepts. PaLM-E can address a variety of embodied reasoning tasks from multiple observation modalities on multiple embodiments.
Key Features
- Incorporates real-world continuous sensor modalities into language models.
- Generates textual completions autoregressively.
- Can address a variety of embodied reasoning tasks.
- Supports multiple observation modalities and embodiments.
Use Cases
- Embodied reasoning tasks.
- Text generation.
- Multimodal tasks.
- Real-world inference for robotics problems.
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