When comparing how GPT-4.5 and GPT-4o handle ambiguous questions, several key differences emerge based on their design and performance evaluations:
1. Model Architecture and Design:
- GPT-4o is optimized for efficiency and multimodality, handling text, images, audio, and video inputs more effectively than GPT-4. It is designed to be quicker and more computationally efficient, which can influence how it processes ambiguous information by potentially providing more detailed responses, sometimes to the point of verbosity[2][6].
- GPT-4.5, on the other hand, is focused on improving performance in specific areas like instruction hierarchy and reducing hallucinations, which might help in handling ambiguous questions by adhering more strictly to given instructions and reducing incorrect information[1].
2. Handling Ambiguity:
- GPT-4o tends to provide more detailed responses, which can be beneficial in some contexts but may also lead to verbosity or confusion when dealing with ambiguous questions. It has stronger contextual understanding, enabling it to better grasp idioms and cultural references, which can be advantageous in ambiguous scenarios[6].
- GPT-4.5 has not been specifically highlighted for its performance on ambiguous questions in the available literature. However, its improvements in instruction hierarchy suggest it might be better at following specific instructions within ambiguous contexts, potentially reducing errors by adhering to system messages over user inputs[1].
3. Bias and Fairness Evaluations:
- Both models have been evaluated for bias and fairness, with GPT-4o sometimes outperforming GPT-4 in providing unbiased answers in unambiguous contexts. However, GPT-4.5's performance in similar evaluations is not explicitly detailed for ambiguous questions[1].
4. User Experience and Feedback:
- Users have reported mixed experiences with GPT-4o, noting it can be quicker and more detailed but sometimes struggles with reasoning and logic, which might affect its handling of ambiguous questions[4]. GPT-4.5's user feedback is less documented in this regard.
In summary, while both models have their strengths, GPT-4o is noted for its detailed responses and stronger contextual understanding, which might aid in handling ambiguity. GPT-4.5 focuses more on instruction adherence and reducing hallucinations, which could also be beneficial in ambiguous scenarios by ensuring the model sticks to provided instructions. However, specific evaluations on how GPT-4.5 handles ambiguous questions are not extensively detailed in the available literature.
Citations:
[1] https://cdn.openai.com/gpt-4-5-system-card.pdf
[2] https://blog.promptlayer.com/understanding-gpt-4o-vs-gpt-4-a-comparative-guide/
[3] https://community.openai.com/t/openai-model-struggle-with-ambiguous-questions-when-using-context/63410
[4] https://community.openai.com/t/gpt-4-vs-gpt-4o-which-is-the-better/746991
[5] https://www.reddit.com/r/OpenAI/comments/1inz75h/openai_roadmap_update_for_gpt45_gpt5/
[6] https://www.techtarget.com/searchenterpriseai/feature/GPT-4o-vs-GPT-4-How-do-they-compare
[7] https://www.youtube.com/watch?v=9kUXLaIBflI
[8] https://www.kommunicate.io/blog/chatgpt-4-vs-chatgpt-3-5-key-differences/