OneThinker AI Model: The First Unified System for Image and Video Understanding
17 days ago 高效码农OneThinker: One Model to Understand Both Images and Videos Have you ever imagined an AI “polymath” capable of solving complex diagram-based math problems, precisely tracking objects in a video, and segmenting them—all within a single system? Traditionally, this required separate specialized models for tasks like visual question answering, video analysis, and object localization. This paradigm is now being reshaped by a unified generalist. Today, we delve into OneThinker—a multimodal reasoning model designed to unify image and video understanding. Within a single framework, it masters ten fundamental visual tasks, including question answering, captioning, grounding, tracking, and segmentation, marking a significant step …
Unlocking Multimodal AI: How LLMs Can See and Hear Without Training
7 months ago 高效码农Unlocking Multimodal AI: How LLMs Can See and Hear Without Training Recent breakthroughs in artificial intelligence reveal that large language models (LLMs) possess inherent capabilities to process visual and auditory information, even without specialized training. This article explores the open-source MILS framework, demonstrating how LLMs can perform image captioning, audio analysis, and video understanding tasks in a zero-shot learning paradigm. Core Technical Insights The methodology from the paper “LLMs Can See and Hear Without Any Training” introduces three key innovations: Cross-Modal Embedding Alignment Leverages pre-trained models to map multimodal data into a unified semantic space Dynamic Prompt Engineering Translates visual/audio …