Multimodal
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AI
Beyond Manual Labeling: How ProVision Enhances Multimodal AI with Automated Data Synthesis
Artificial intelligence (AI) has transformed industries, making processes more intelligent, faster and more efficient. The data quality used to train…
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AI
SHOW-O: A Single Transformer Uniting Multimodal Understanding and Generation
Significant advancements in large language models (LLMs) have inspired the development of multimodal large language models (MLLMs). Early MLLM efforts,…
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AI
Meta’s Llama 3.2: Redefining Open-Source Generative AI with On-Device and Multimodal Capabilities
Meta’s recent launch of Llama 3.2the latest iteration in the Llama family of large language models, is a significant development…
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AI
EAGLE: Exploring the Design Space for Multimodal Large Language Models with a Mixture of Encoders
The ability to accurately interpret complex visual information is a crucial focus of multimodal large language models (MLLMs). Recent work…
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AI
MINT-1T: Scaling Open-Source Multimodal Data by 10x
Training frontier large multimodal models (LMMs) requires large-scale datasets with interleaved sequences of images and text in free form. Although…
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