A generalized architectural blueprint for building efficient MLLMs. This template achieves efficiency through a combination of component choices and data flow optimization. Key strategies include: (1) ...
AI models that process multiple types of information at once bring even bigger opportunities, along with more complex challenges, than traditional unimodal AI. In partnership withJina AI Multimodality ...
Given that the ChatGPT-4V is unable to directly read entire whole slide images (WSIs), a pathologist (N.T.) with 11 years of clinical expertise in urologic pathology selected representative fields of ...
This study is led by Prof. Jianhua Tao(Department of Automation，Tsinghua University) . Affective computing is an important branch in the field of artificial intelligence. Multimodal emotion ...
Microsoft Corp. today expanded its Phi line of open-source language models with two new algorithms optimized for multimodal processing and hardware efficiency. The first addition is the text-only ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As competition in the generative AI field ...
Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The ...
Major New Resource Drives Innovative Approach to Model Training to Democratize Multimodal AI Development, Dramatically Reduce Training Time and Compute Requirements for Builders SAN FRANCISCO, Oct. 17 ...
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