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Recent strides in large language models (LLMs) have showcased their remarkable versatility across various domains and tasks. The next frontier in this field is the development of large multimodal models (LMMs), aiming to enhance the capabilities of LLMs by incorporating multi-sensory skills to achieve even greater general intelligence. However, most existing LLMs are constrained by model and data scales, leaving a gap in our understanding of the current state and emergent multimodal abilities of LMMs built upon state-of-the-art LLMs.
In a new paper The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision), a Microsoft research team conducts an in-depth analysis of the latest model, GPT-4V(ision). Their report delves into the emerging application scenarios and outlines future research directions for GPT-4V-based systems, with the goal of inspiring research on next-generation multimodal task formulation and the development of more robust LLMs.
This study centers on the use of qualitative results to shed light on GPT-4V’s new capabilities and potential emerging use cases, even though these novel capabilities may not yet be entirely reliable.
The report is structured around four key questions guiding their exploration: 1) What are GPT-4V’s supported inputs and working modes? 2) What are the quality and genericity of GPT-4V’s capabilities on different domains and tasks? 3) What are effective ways to use and prompt GPT-4V? and 4) What are promising future directions?
The contributions of this paper can be summarized as follows:
Supported Inputs and Working Modes:
- GPT-4V exhibits unparalleled proficiency in comprehending and processing a diverse mix of input types…