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PaLM-E
An embodied multimodal language model

Pricing
Free
Tool Info
Rating: N/A (0 reviews)
Date Added: May 2, 2024
Categories
What is 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 and Benefits
- 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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