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Bookmark or Share- What is Multimodal AI? - TechTargetMultimodal AI systems train with and use video, audio, speech, images, text and a range of traditional numerical data sets. Most importantly, multimodal AI means numerous data types are used in tandem to help AI establish content and better interpret context, something missing in earlier AI.
- Gemini - Google DeepMindBuilding on our Gemini models, we’ve developed AI agents that can quickly process multimodal information, reason about the context you’re in, and respond to questions at a conversational pace, making interactions feel much more natural.
- Multimodal: AI’s new frontier | MIT Technology ReviewAI models that process multiple types of information at once bring even bigger opportunities, along with more complex challenges, than traditional unimodal AI.
- What is multimodal AI? Large multimodal models, explained - ZapierExplore the world of multimodal AI, its capabilities across different data modalities, and how it's shaping the future of AI research. Here's how large multimodal models work.
- What is Multimodal AI? - IBMMultimodal AI refers to machine learning models capable of processing and integrating information from multiple modalities or types of data. These modalities can include text, images, audio, video and other forms of sensory input.
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