PaLM-E is an advanced language model designed to understand and generate responses based on visual, auditory, and tactile inputs. It's an evolution of the pre-trained PaLM model, with added capabilities to process and integrate sensory data directly into its language understanding framework. This enables it to perform tasks requiring embodied reasoning, such as robotic manipulation planning and visual question answering. PaLM-E stands out for its ability to handle a diverse range of tasks across different modalities and its state-of-the-art performance on various benchmarks.

Read more at https://ai.googleblog.com/2023/03/palm-e-embodied-multimodal-language.html.