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In this episode of Generative AI 101, we explore the numbers and benchmarks that make OpenAI's o1 model a standout. From crushing the International Mathematics Olympiad with an 83% success rate to out-coding 93% of humans on Codeforces, o1 isn’t just flexing—it’s proving itself. But it’s not just about math and coding; o1 also excels in reasoning-heavy tasks, earning human preference over GPT-4 for complex problem solving. We’ll explore where o1 surpasses its predecessors—and where it still falls short—showing that the future of AI may just belong to this reasoning machine.
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about what's under the hood of OpenAI's new o1 Preview than you did before!
Connect with Emily Laird on LinkedIn
By Emily Laird4.6
1919 ratings
In this episode of Generative AI 101, we explore the numbers and benchmarks that make OpenAI's o1 model a standout. From crushing the International Mathematics Olympiad with an 83% success rate to out-coding 93% of humans on Codeforces, o1 isn’t just flexing—it’s proving itself. But it’s not just about math and coding; o1 also excels in reasoning-heavy tasks, earning human preference over GPT-4 for complex problem solving. We’ll explore where o1 surpasses its predecessors—and where it still falls short—showing that the future of AI may just belong to this reasoning machine.
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about what's under the hood of OpenAI's new o1 Preview than you did before!
Connect with Emily Laird on LinkedIn

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