Multimodal
Multimodal refers to the integration of multiple modes of communication, such as text, images, audio, and video, in digital interfaces and applications for enhancing user engagement and accessibility. It involves technologies such as natural language processing, computer vision, and speech recognition for interpreting and generating multimodal content. Readers can explore multimodal interfaces, applications, and design principles for creating inclusive and immersive user experiences across different devices and interaction contexts.
XGen-MM: A Series of Large Multimodal Models (LMMS) Developed by Salesforce Al ResearchLanceDB, which counts Midjourney as a customer, is building databases for multimodal AIBreaking Down Barriers: Scaling Multimodal AI with CuMoMeet HPT 1.5 Air: A New Open-Sourced 8B Multimodal LLM with Llama 3InternVL 1.5 Advances Multimodal AI with High-Resolution and Bilingual Capabilities in Open-Source ModelsGEMINI LLM: Unveiling the Future of Language ModelsHugging Face Researchers Introduce Idefics2: A Powerful 8B Vision-Language Model Elevating Multimodal AI Through Advanced OCR and Native Resolution TechniquesGrok-1.5 Vision: Elon Musk’s x.AI Sets New Standards in AI with Groundbreaking Multimodal ModelMultimodal Large Language Models & Apple’s MM1MoMA: An Open-Vocabulary and Training Free Personalized Image Model that Boasts Flexible Zero-Shot Capabilities
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