Currently, there is no specific information available about GPT-4.5 in the provided search results. However, we can discuss the differences between GPT-4o and its predecessors, which might help in understanding potential improvements in future models like GPT-4.5.
Key Performance Metrics for GPT-4o Compared to Predecessors
1. Accuracy and Precision: GPT-4o demonstrates higher accuracy and precision compared to GPT-4, GPT-3.5, and GPT-3. For example, GPT-4o achieves an accuracy rate of 89% in understanding complex queries, compared to GPT-4's 84%, GPT-3.5's 80%, and GPT-3's 75%[1].
2. Perplexity: GPT-4o has a lower perplexity score of 8.2, indicating better language pattern understanding and coherence compared to GPT-4 (10.3), GPT-3.5 (12.1), and GPT-3 (14.5)[1].
3. Context Retention: GPT-4o maintains 92% accuracy in context retention over multiple conversational turns, outperforming GPT-4 (88%), GPT-3.5 (83%), and GPT-3 (78%)[1].
4. Response Time: GPT-4o generally responds faster than its predecessors, with an average response time of 0.9 seconds, compared to GPT-4's 1.1 seconds, GPT-3.5's 1.3 seconds, and GPT-3's 1.5 seconds[1]. However, recent tests suggest GPT-4 might be quicker in some scenarios[2].
5. Multimodal Capabilities: GPT-4o supports a broader range of multimodal inputs and outputs, including text, image, audio, and video, whereas GPT-4 has more limited multimodal features[4].
6. Efficiency and Cost: GPT-4o is designed to be more computationally efficient and cost-effective, with faster generation speeds and lower costs compared to GPT-4[4].
7. Robustness and Stability: GPT-4o exhibits greater robustness and stability, handling noisy inputs more effectively and providing consistent responses[1].
Potential Differences in Future Models
If a model like GPT-4.5 were to be developed, it might further refine these metrics by enhancing accuracy, reducing response times, improving multimodal capabilities, and increasing robustness against adversarial inputs. Additionally, it could focus on addressing specific task limitations, such as complex data extraction or verbal reasoning tasks where GPT-4o still shows room for improvement[3].
In summary, while specific details about GPT-4.5 are not available, future models are likely to build upon the advancements seen in GPT-4o, focusing on efficiency, multimodal support, and task-specific performance improvements.
Citations:
[1] https://www.tradingview.com/news/cointelegraph:04d84498a094b:0-what-is-gpt-4o-and-how-is-it-different-from-gpt-3-gpt-3-5-and-gpt-4/
[2] https://www.techtarget.com/searchenterpriseai/feature/GPT-4o-vs-GPT-4-How-do-they-compare
[3] https://www.vellum.ai/blog/analysis-gpt-4o-vs-gpt-4-turbo
[4] https://blog.promptlayer.com/understanding-gpt-4o-vs-gpt-4-a-comparative-guide/
[5] https://community.openai.com/t/gpt-4-vs-gpt-4o-which-is-the-better/746991
[6] https://neoteric.eu/blog/gpt-4o-vs-gpt-4-vs-gpt-3-5-comparison-in-real-world-scenarios/
[7] https://www.reddit.com/r/ChatGPT/comments/1crca4l/direct_speed_comparison_between_gpt4_and_gpt4o/
[8] https://ttms.com/chatgpt-4o-as-a-content-creation-tool-how-does-it-differ-from-version-4-0/