GPT-4.5's ability to handle conflicting instructions is crucial in several real-world applications, particularly where safety, consistency, and reliability are paramount. Here are some scenarios where this capability is essential:
Customer Service and Support
In customer service, GPT-4.5 can be used to create chatbots that follow specific guidelines while interacting with customers. For instance, a chatbot might be instructed to provide detailed answers to legal questions while adhering to confidentiality agreements. If a customer tries to trick the chatbot into revealing sensitive information, GPT-4.5's ability to prioritize system instructions over user requests ensures that it maintains confidentiality and provides safe responses[2][3].Math Tutoring and Education
In educational settings, GPT-4.5 can serve as a math tutor. It is programmed to not give away answers to math problems, even when users attempt to trick it into doing so. This capability ensures that students are encouraged to solve problems independently while still receiving guidance and support. GPT-4.5's instruction hierarchy helps it resist attempts to bypass these safety measures, maintaining its role as a helpful educational tool without compromising its integrity[1][5].Coding and Software Development
GPT-4.5 can assist in coding tasks by following specific coding standards and guidelines. In scenarios where conflicting instructions ariseâsuch as when a user requests a code snippet that violates security protocolsâGPT-4.5's ability to prioritize system instructions ensures that it generates secure and compliant code. This is crucial in maintaining the integrity and security of software applications[4][5].Multimodal Interactions
In multimodal applications, where both text and image inputs are processed, GPT-4.5's ability to handle conflicting instructions helps in ensuring that the model does not engage with disallowed content. This is particularly important in applications where safety and compliance are critical, such as in content moderation or educational platforms[1].Red Teaming and Security Evaluations
GPT-4.5's robustness against adversarial attacks is tested through red teaming evaluations, which involve challenging the model with conflicting instructions designed to elicit unsafe responses. The model's performance in these evaluations highlights its ability to resist attempts to bypass safety protocols, making it more reliable in high-stakes applications[1].Overall, GPT-4.5's capacity to handle conflicting instructions enhances its utility in a wide range of applications by ensuring safety, consistency, and reliability.
Citations:
[1] https://cdn.openai.com/gpt-4-5-system-card.pdf
[2] https://ddi-dev.com/blog/it-news/gpt-4-exploring-possibilities-for-business-applications/
[3] https://arxiv.org/html/2502.08745v1
[4] https://www.restack.io/p/artificial-intelligence-applications-answer-gpt-4-applications-in-real-world-scenarios
[5] https://latenode.com/blog/chatgpt-4-5-review
[6] https://thezvi.wordpress.com/2023/12/21/ai-43-functional-discoveries/
[7] https://www.reddit.com/r/OpenAI/comments/18ka4pt/i_am_apparently_using_gpt_45_according_to_chatgpt/
[8] https://venturebeat.com/ai/too-many-models-too-much-confusion-openai-pledges-to-simplify-its-product-line/