PaLM
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- PaLM-E | Google
- Multimodal Language Models
- Large Language Model (LLM) ... Natural Language Processing (NLP) ... Generation ... Classification ... Understanding ... Translation ... Tools & Services
- Assistants ... Personal Companions ... Agents ... Negotiation ... LangChain
- Attention Mechanism ...Transformer ...Generative Pre-trained Transformer (GPT) ... GAN ... BERT
- Generative AI ... Conversational AI ... OpenAI's ChatGPT ... Perplexity ... Microsoft's Bing ... You ... Google's Bard ... Baidu's Ernie
- Capabilities
- Video/Image ... Vision ... Colorize ... Image/Video Transfer Learning
- End-to-End Speech ... Synthesize Speech ... Speech Recognition ... Music
- Development ...AI Pair Programming Tools ... Analytics ... Visualization ... Diagrams for Business Analysis
- Prompt Engineering (PE) ... PromptBase ... Prompt Injection Attack
- Foundation Models (FM)
- Singularity ... Sentience ... AGI ... Curious Reasoning ... Emergence ... Moonshots ... Explainable AI ... Automated Learning
- PaLM-E: An embodied multimodal language model
- PaLM-E, Google's smartest new bot | Anthony Castrio - Bot Eat Brain
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
