Shanghai, China – The Shanghai AI Lab has recently launched an open-source multimodal large model named PuYulingBi, which boasts performance comparable to OpenAI’s GPT-4V. This new model represents a significant leap forward in the field of artificial intelligence, offering capabilities that could revolutionize content creation, education, marketing, and entertainment.
PuYulingBi, which is capable of handling long contexts up to 96K and supporting ultra-high-resolution image and fine-grained video understanding, is designed to facilitate multi-round multi-image dialogue. It can also automatically generate webpages and create high-quality text and image articles based on instructions.
Key Features of PuYulingBi IXC-2.5
High-resolution image understanding: PuYulingBi incorporates a 560×560 ViT (Vision Transformer) visual encoder, enabling it to process images of any size with exceptional detail capture.
Fine-grained video understanding: By treating videos as ultra-high-resolution composite images made up of dozens to hundreds of frames, PuYulingBi can capture and analyze the details of each frame with dense sampling and high-resolution processing.
Multi-round multi-image dialogue: PuYulingBi supports free-form multi-round multi-image dialogue, allowing machines to engage in more natural conversations with humans.
Webpage creation: The model can automatically combine HTML, CSS, and JavaScript source code based on text and image instructions to create webpages.
High-quality text and image article writing: Utilizing Chain-of-Thought and Direct Preference Optimization techniques, PuYulingBi can significantly enhance the quality of articles when creating text and image content.
Technical Principles of PuYulingBi
Multimodal learning: PuYulingBi combines visual and language models to handle and understand both image and text data simultaneously, enabling mixed-creation of text and images.
Large language model backend: The model employs a 7B-scale large language model as the backend, providing robust text generation and understanding capabilities.
High-resolution image processing: Through a 560×560 ViT visual encoder, PuYulingBi can process high-resolution images and capture subtle features within them.
Fine-grained video understanding: PuYulingBi treats video content as ultra-high-resolution images composed of multiple frames, analyzing the content with dense sampling and high-resolution processing.
Multi-round multi-image dialogue capability: PuYulingBi can process and respond to multiple images in multi-round dialogues, simulating human communication and providing a more natural interactive experience.
How to Use PuYulingBi IXC-2.5
To use PuYulingBi IXC-2.5, users must first ensure that their computational environment meets the requirements for running the model, including sufficient memory and computational power. They must then download or clone the model’s codebase from its GitHub repository, install the necessary dependencies, load the pre-trained IXC-2.5 model into their application, prepare input data, and call the model’s different functions based on their needs.
Application Scenarios
Content creation: PuYulingBi can automatically generate articles, stories, and reports with images, making it suitable for news media, blogs, and educational material production.
Education assistance: In education, PuYulingBi can provide visual and text-based learning materials to enhance the learning experience and help students better understand and remember complex concepts.
Marketing and advertising: The model can create attractive ad content by combining images and text, improving the appeal and conversion rate of advertisements.
Entertainment and gaming: PuYulingBi can generate storylines and visual content based on players’ behavior or choices in video games or interactive entertainment.
Conclusion
The launch of PuYulingBi IXC-2.5 represents a significant step forward in the development of multimodal large models. With its impressive performance and wide range of applications, this open-source model has the potential to revolutionize various industries and contribute to the continued advancement of artificial intelligence.
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