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Introducing InternVL: A 6 Billion Parameter Vision-Language Foundation Mode Aimed at Bridging the Gap in Multi-Modal AGI

The AI field has been abuzz with excitement as of late, thanks to a groundbreaking model proposed by researchers from Nanjing University, OpenGVLab, Shanghai AI Laboratory, The University of HongKong, The Chinese University of Hong Kong, Tsinghua University, University of Science and Technology of China, SenseTime Research. Dubbed InternVL, this revolutionary model is designed to bridge the gap between vision and language foundation models and LLMs essential for multi-modal AGI systems.

InternVL is a truly groundbreaking development in the realm of AI. The model employs a large-scale vision encoder, InternViT-6B, and a language middleware, QLLaMA, with 8 billion parameters, allowing it to function as an independent vision encoder for perception tasks, while collaborating with the language middleware for complex vision-language tasks and multimodal dialogue systems. The model’s training involves a progressive alignment strategy, starting with contrastive learning on extensive noisy image-text data and then transitioning to generative learning with more refined data. This progressive approach consistently improves the model’s performance across various tasks.

In addition to its impressive scalability, InternVL is also robust and versatile. The model outperforms existing methods in 32 generic visual-linguistic benchmarks, and excels in diverse tasks such as image and video classification, image and video-text retrieval, image captioning, visible question answering, and multimodal dialogue. This is attributed to the aligned feature space with LLMs, enabling the model to handle complex tasks with remarkable efficiency and accuracy.

The research conducted on InternVL is a major leap in the field of AI, potentially reshaping the future landscape of machine learning. The model’s outstanding performance in various tasks is a testament to its robust visual capabilities, while its versatility and scalability make it a highly effective vision-language foundation model for multi-modal AGI systems. So if you’re looking for an AI breakthrough, InternVL is definitely worth checking out. And don’t forget to join our 35k+ ML SubReddit, 41k+ Facebook Community, Discord Channel, and Email Newsletter, where we share the latest AI research news, cool AI projects, and more.

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