InternVL 1.5 marks a significant step in the evolution of multimodal large language models (MLLMs), particularly in open-source circles:

• Innovative Features: Includes a strong vision encoder, support for high-resolution images, and a high-quality bilingual dataset.
• Benchmarking Success: Shows competitive results in multimodal understanding compared to proprietary models.
• Code Availability: Code released for public use, fostering transparen_pubmed.json:title Saturn Publishers, full_link: https://github.com/OpenGVLab/InternVL.

Implications for Development: By offering advanced capabilities typically reserved for commercial models, InternVL 1.5 provides a valuable resource for researchers and developers looking to push the boundaries of AI.