Summary GPT-4V Multimodal LLM with Image Inputs cdn.openai.com
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One Line
OpenAI introduces GPT-4V, a language model that incorporates images and partners with Be My Eyes to assist visually impaired individuals, with further enhancements in the pipeline.
Slides
Slide Presentation (7 slides)
Key Points
- OpenAI has released GPT-4V, a multimodal language model that incorporates image inputs.
- GPT-4V was deployed in collaboration with Be My Eyes to provide descriptions of photos for blind users.
- Limitations and risks were identified during testing, including hallucinations, errors, and limitations in the model's responses.
- Mitigations were implemented to reduce risks, and users were advised not to rely on AI for safety and health-related issues.
- Evaluations revealed risks in medical condition diagnosis, privacy concerns, and CAPTCHA breaking.
- GPT-4V showed proficiency in scientific domains but had limitations in interpreting complex information from images.
- Risks associated with stereotyping and ungrounded inferences were identified, and mitigations were implemented.
- OpenAI plans to address fundamental questions about AI behavior, improve performance in different languages, enhance image recognition capabilities, and engage with the public.
Summaries
20 word summary
OpenAI releases GPT-4V, a multimodal language model with image inputs. Collaborates with Be My Eyes for blind users. Improvements planned.
73 word summary
OpenAI has released GPT-4V, a multimodal language model that incorporates image inputs. Safety measures have been taken and the training process is similar to GPT-4. In collaboration with Be My Eyes, GPT-4V was used to describe photos for blind users, but limitations and risks were identified. Evaluations showed proficiency and limitations in scientific domains and medical advice. OpenAI plans to improve language support, image recognition, and engage with the public on these topics.
158 word summary
OpenAI has introduced GPT-4V, a multimodal language model featuring image inputs. The safety aspects of GPT-4V have been examined, and its training process is similar to GPT-4, utilizing reinforcement learning from human feedback. During early access, GPT-4V was utilized by Be My Eyes, an organization supporting visually impaired individuals. Be My AI, developed in collaboration with Be My Eyes, employed GPT-4V to describe photos taken by blind users. While the beta testing phase showcased the potential of Be My AI in meeting the needs of blind and low-vision users, limitations and risks such as hallucinations and errors were identified. Further evaluations were conducted, revealing both proficiency and limitations in scientific domains, medical advice, and image interpretation. Mitigations were implemented to address risks and limitations, including refusal behavior for certain prompts and system-level measures to detect adversarial images. OpenAI plans to explore AI model behavior, improve language support and image recognition, and engage with the public on these topics.
344 word summary
OpenAI has released GPT-4V, a multimodal language model that incorporates image inputs. The safety properties of GPT-4V have been analyzed, and its training process is similar to GPT-4, using reinforcement learning from human feedback.
GPT-4V was given early access to a diverse set of users, including Be My Eyes, an organization for visually impaired users. Be My AI, a tool developed in collaboration with Be My Eyes, incorporated GPT-4V to provide descriptions of photos taken by blind users. The beta testing phase showed that Be My AI can address the informational, cultural, and employment needs of blind and low-vision users, but limitations and risks were identified, including hallucinations and errors. Mitigations were implemented, and users were advised not to rely on AI for safety and health-related issues.
Developer alpha testing was conducted to gain feedback on how people interact with GPT-4V. Risk surfaces were identified, including medical condition diagnosis, privacy concerns, and CAPTCHA breaking. Evaluations were performed in different domains, such as gender, race, and age recognition, person identification, ungrounded inferences, CAPTCHA breaking, and geolocation.
Qualitative and quantitative evaluations were carried out to understand the capabilities and limitations of GPT-4V. The model showed proficiency in scientific domains but had limitations in interpreting complex information from images. It exhibited inconsistencies in medical advice and sometimes made errors or missed information in medical imaging. Risks associated with stereotyping and ungrounded inferences were also identified. Mitigations were implemented to refuse certain prompts related to people, detect disinformation, and provide accurate responses.
Mitigations were implemented to address the risks and limitations identified during the evaluations. Transfer benefits from previous safety work were utilized, and additional mitigations were developed for high-risk areas. Refusal behavior was designed for prompts containing images of people, sensitive traits, and ungrounded inferences. System-level mitigations were also implemented to detect adversarial images containing overlaid text.
OpenAI plans to address fundamental questions about AI model behavior, improve performance in different languages, enhance image recognition capabilities, and refine the model's handling of sensitive information from images. They also aim to engage with the public on these topics.
494 word summary
OpenAI has released GPT-4V, a multimodal language model that incorporates image inputs. This new model allows users to instruct GPT-4 to analyze images and provides novel interfaces and capabilities. The safety properties of GPT-4V have been analyzed, building on the work done for GPT-4. The training process for GPT-4V is similar to GPT-4, where the pre-trained model is fine-tuned using reinforcement learning from human feedback.
The deployment preparation for GPT-4V involved giving early access to a diverse set of users, including Be My Eyes, an organization that builds tools for visually impaired users. Be My AI, a tool developed in collaboration with Be My Eyes, incorporated GPT-4V into their platform to provide descriptions of photos taken by blind users. The beta testing phase showed that Be My AI can provide valuable tools for blind and low-vision users, addressing their informational, cultural, and employment needs. However, limitations and risks were identified during the testing phase, including hallucinations, errors, and limitations in the model's responses. Mitigations were implemented to reduce these risks, and users were advised not to rely on AI for safety and health-related issues.
Developer alpha testing was also conducted to gain feedback on how people interact with GPT-4V. The analysis of the alpha production traffic data revealed various risk surfaces, including medical condition diagnosis, privacy concerns, and CAPTCHA breaking. Evaluations were performed to measure the model's performance accuracy and refusal behavior in different domains, such as gender, race, and age recognition, person identification, ungrounded inferences, CAPTCHA breaking, and geolocation.
Qualitative and quantitative evaluations were carried out to better understand the capabilities and limitations of GPT-4V. The model showed proficiency in scientific domains but had limitations in interpreting complex information from images. It exhibited inconsistencies in medical advice and sometimes made errors or missed information in medical imaging. Risks associated with stereotyping and ungrounded inferences were also identified, and mitigations were implemented to refuse certain prompts related to people. The model's ability to detect disinformation and provide accurate responses was inconsistent.
Mitigations were implemented to address the risks and limitations identified during the evaluations. Transfer benefits from previous safety work were utilized, and additional mitigations were developed for high-risk areas. Refusal behavior was designed for prompts containing images of people, sensitive traits, and ungrounded inferences. System-level mitigations were also implemented to detect adversarial images containing overlaid text.
The next steps for OpenAI include addressing fundamental questions about the behavior of AI models, improving performance in different languages, enhancing image recognition capabilities, and refining the model's handling of sensitive information from images. OpenAI also plans to engage with the public on these topics.
The summary provides an overview of the document's main points, including the introduction of GPT-4V, deployment preparation, evaluations conducted, external red teaming, and mitigations implemented. It highlights the risks and limitations identified during the testing phase and the steps taken to address them. The summary also mentions the next steps for OpenAI in further improving the model and engaging with the public.