PaLM-E: An Embodied Multimodal Language Model: Difference between revisions

{{see also|PaLM-E|Papers}}

The paper talks about a new type of computer program called an embodied language model that can help robots understand language better and interact with the real world. Large language models (LLMs) are computer programs that are really good at understanding and using language, but they have trouble using that language to control robots and interact with the real world. The article proposes an embodied language model that incorporates real-world sensor data, like pictures and sensor readings, into the language model. This helps the program understand how to use language to control a robot and interact with the real world.