Multi-modal AI is one of the most popular artificial intelligence trends in business. It leverages machine learning trained on multiple modalities, such as speech, images, video, audio, text, and traditional numerical data sets. This approach creates a more holistic and human-like cognitive experience.
Enterprises can capitalize on multi-modal AI to build intelligent systems that analyze diverse data streams, improving natural language understanding, visual perception, and voice recognition for enhanced user experiences. For instance, Google DeepMind is in the news with Gato, a multi-modal AI system that performs language, visual, and robotic movement tasks.
Also, Meta has recently introduced five significant new AI models and research initiatives. These include multi-modal systems capable of processing both text and images, advanced language models, music generation technology,
AI speech detection, and initiatives to enhance diversity in AI systems.
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