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Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video.This integration allows for a more holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, [1] text-to-image generation, [2] aesthetic ranking, [3] and ...
GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but with a usage limit that is five times higher for ChatGPT Plus subscribers. [2] It can process and generate text, images and audio. [3]
The most basic understanding of language comes via semiotics – the association between words and symbols. A multimodal text changes its semiotic effect by placing words with preconceived meanings in a new context, whether that context is audio, visual, or digital. This in turn creates a new, foundationally different meaning for an audience.
Zines allow students to engage in multimodal text creation in way that is accessible and inexpensive. Students are able to cut and paste images and text into pamphlet pages requiring that they make choices regarding the visual, linguistic, and spatial aspects of the text and examine these modes in relation to another. [25]
Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model trained and created by OpenAI and the fourth in its series of GPT foundation models. [1] It was launched on March 14, 2023, [1] and made publicly available via the paid chatbot product ChatGPT Plus, via OpenAI's API, and via the free chatbot Microsoft Copilot. [2]
Multimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. [31] It can be bimodal, which includes different combinations of two modalities, or trimodal, which incorporates three modalities. [ 32 ]
Generative AI can be either unimodal or multimodal; unimodal systems take only one type of input, whereas multimodal systems can take more than one type of input. [59] For example, one version of OpenAI's GPT-4 accepts both text and image inputs. [60]
Multimodal learning, machine learning methods using multiple input modalities; Multimodal transport, a contract for delivery involving the use of multiple modes of goods transport; Multimodality, the use of several modes (media) in a single artifact; Multimodal logic modal logic that has more than one primitive modal operator