Apple Inc. recently launched a significant update for its multimodal AI model MM1, upgrading it to version MM1.5. This upgrade represents more than just a simple change in version number; it is a comprehensive enhancement of capabilities, showcasing the model's stronger performance across various fields. The core upgrade of MM1.5 lies in its innovative data processing methods. The model utilizes a data-centric training approach, carefully selecting and optimizing the training dataset. Specifically, MM1.5 employs high-definition OCR data and synthetic image descriptions, along with optimizations.

Mistral AI has launched Pixtral12B, the first open-source multimodal model with 12 billion parameters, capable of processing both images and text. At 23.64GB, it's lightweight and offers easy access to model weights, reducing energy consumption and deployment barriers. It outperforms several established multimodal models in benchmark tests, driving a wave of open-source innovation in AI.....

The Tencent Hunyuan Large Model excelled in the August rankings of the SuperCLUE-V evaluation benchmark for Chinese multimodal large models, securing the top position among domestic large models and placing in the 'Exemplary Leaders' quadrant. Multimodal understanding requires the model to accurately identify image elements, comprehend their relationships, and generate natural language descriptions, testing the model's precision in image recognition and its understanding of the complex real world.