OpenAI's o1-preview model scored impressively on benchmarks of human intelligence and coding skills, but it also knowingly supplies incorrect answers some of the time, the company found.
a preview of its next-generation large language models, which the company says perform better than its previous models but come with a few caveats.
When asked a question, the new models use chain-of-thought techniques that mimic how humans think and how many generative AI users have learned to use the technology—by continuously prompting and correcting the model with new directions until it achieves the desired answer. But in o1 models, versions of those processes happen behind the scenes without additional prompting. “It learns to recognize and correct its mistakes. It learns to break down tricky steps into simpler ones.
Overall, the new models performed better than GPT-4o, OpenAI’s previous state-of-the-art model, on various company safety benchmarks measuring how easily the models can be jailbroken, how often they provide incorrect responses, and how often they display bias regarding age, gender, and race.
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