GPT-4V(ision) System Card

GPT-4 with vision (GPT-4V) enables users to provide image inputs to GPT-4 for analysis, expanding the capabilities of large language models (LLMs) beyond text-only processing. This multimodal integration allows the system to solve new types of tasks and create novel interfaces by combining visual perception with linguistic reasoning.

Multimodal Capabilities and Impact

GPT-4V incorporates image inputs into the existing GPT-4 framework, which OpenAI identifies as a key frontier in AI research. By adding visual modalities, the model can analyze images provided by the user and follow instructions based on that visual data. This shift from a language-only system to a multimodal one enables the AI to interact with the world through visual information, significantly expanding its potential utility and the range of experiences it can offer users.

Safety Evaluations and Mitigations

OpenAI's safety work for GPT-4V builds upon the foundations established for GPT-4, with a specific focus on the unique risks introduced by image inputs. The GPT-4V system card details the evaluations, preparation, and mitigation strategies implemented to ensure the model handles visual data safely.

Because image inputs introduce new attack vectors and potential for misuse compared to text-only inputs, OpenAI performed deeper dives into safety evaluations specifically tailored for the vision modality to identify and mitigate risks before broad availability.