Multimodal Glossary
Browse 8 multimodal terms defined in plain English, from the cultural dictionary of computing.
8 Multimodal Terms
- CLIP
- A multimodal model trained to align images and text in a shared embedding space. It influences how models are trained, evaluated, or served, and it can...
- CLIP Model
- A model trained to align images and text in a shared embedding space so they can be compared semantically.
- Cross-Attention
- An attention mechanism where one sequence attends to representations computed from another sequence. It influences how models are trained, evaluated, or...
- Gemini
- Google's family of multimodal AI models, succeeding the PaLM series, capable of processing and generating text, code, images, audio, and video. Gemini launched...
- Gemini Model
- A model in Google's Gemini family, commonly discussed in the context of multimodal AI, assistants, and foundation-model competition.
- GPT-4
- OpenAI's fourth-generation Generative Pre-trained Transformer, a large multimodal model capable of processing both text and images. Released in March 2023,...
- Large Multimodal Model
- A large model trained to understand or generate across multiple modalities such as text, image, or audio. It influences how models are trained, evaluated, or...
- Multi-Modal
- Describing AI systems that can process or generate more than one modality, such as text, images, audio, or video. Multi-modal systems are useful when tasks...
Related Topics
- Llm (3 terms in common)
- Ai (3 terms in common)
- Vision (2 terms in common)
- Embeddings (2 terms in common)
- Google (2 terms in common)
- Attention (1 terms in common)
- Transformers (1 terms in common)
- Inputs (1 terms in common)
- Llms (1 terms in common)
- Openai (1 terms in common)
- Foundation Models (1 terms in common)