Difference between revisions of "PaLM"
m |
m |
||
| Line 26: | Line 26: | ||
| − | + | An Embodied Multimodal Language Model that directly incorporates real-world continuous sensor modalities into language models and thereby establishes the link between words and percepts. It was developed by Google to be a model for robotics and can solve a variety of tasks on multiple types of robots and for multiple modalities (images, robot states, and neural scene representations). PaLM-E is also a generally-capable vision-and-language model. It can perform visual tasks, such as describing images, detecting objects, or classifying scenes, and is also proficient at language tasks, like quoting poetry, solving math equations or generating code. 562B | |
| + | |||
| + | |||
| + | https://palm-e.github.io/videos/palm-e-teaser.mp4 | ||
Revision as of 09:33, 29 April 2023
YouTube ... Quora ...Google search ...Google News ...Bing News
- PaLM-E | Google
- Multimodal Language Models
- Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services
- Assistants ... Agents ... Negotiation ... HuggingGPT ... LangChain
- Attention Mechanism ...Transformer Model ...Generative Pre-trained Transformer (GPT)
- Generative AI ... Conversational AI ... OpenAI's ChatGPT ... Perplexity ... Microsoft's Bing ... You ...Google's Bard ... Baidu's Ernie
- Capabilities
- Development ...AI Pair Programming Tools ... Analytics ... Visualization ... Diagrams for Business Analysis
- Prompt Engineering (PE)
- Foundation Models (FM)
- Singularity ... Moonshots ... Emergence ... Explainable / Interpretable AI ... AGI ... Inside Out - Curious Optimistic Reasoning ... Automated Learning
An Embodied Multimodal Language Model that directly incorporates real-world continuous sensor modalities into language models and thereby establishes the link between words and percepts. It was developed by Google to be a model for robotics and can solve a variety of tasks on multiple types of robots and for multiple modalities (images, robot states, and neural scene representations). PaLM-E is also a generally-capable vision-and-language model. It can perform visual tasks, such as describing images, detecting objects, or classifying scenes, and is also proficient at language tasks, like quoting poetry, solving math equations or generating code. 562B
