Vision Assistant

Vision assistants are AI systems combining large language models (LLMs) with visual processing capabilities to perform a variety of tasks, aiming to provide helpful and informative interactions with users. Current research focuses on improving model efficiency, addressing issues like hallucinations and biases, and developing robust architectures (like LLaVA-style models and multimodal LLMs) for diverse applications, including medical diagnosis, activity assistance, and industrial inspection. These advancements hold significant potential for improving accessibility, automating complex tasks, and enhancing human-computer interaction across numerous domains.