(Reuters) -Microsoft-backed OpenAI said on Thursday it was launching its “Strawberry” series of AI models designed to spend more time processing answers to queries in order to solve hard problems. These OpenAI reasoning models are designed to improve the decision-making process, making AI systems more reliable.
The models, first reported by Reuters, can reason through complex tasks. They solve more challenging problems than previous versions. According to the AI firm, these improvements apply to science, coding, and math.
OpenAI used the code name Strawberry to refer to the project internally, while it dubbed the models announced on Thursday o1 and o1-mini. The o1 will be available in ChatGPT and its API starting Thursday, the company said.
Noam Brown, an OpenAI researcher, confirmed on social media that the models match the Strawberry project. He focused on enhancing reasoning in these models.
“I’m excited to share with you all the fruit of our effort at OpenAI to create AI models capable of truly general reasoning,” Brown wrote.
In its blog post, OpenAI stated the o1 model scored 83% on the International Mathematics Olympiad qualifying exam. This compares to 13% for its earlier model, GPT-4o.
The model also showed better performance on competitive programming questions. Additionally, it surpassed human PhD-level accuracy on a science benchmark, according to the company.
Brown said the models were able to accomplish the scores by incorporating a technique known as “chain-of-thought” reasoning, which involves breaking down complex problems into smaller logical steps.
Future of AI: Enhanced Reasoning and Automation in OpenAI’s Latest Models
Researchers have noted that AI model performance on complex problems tends to improve when the approach has been used as a prompting technique. OpenAI has now automated this capability so the models can break down problems on their own, without user prompting. Overall, OpenAI’s latest innovation is set to reshape the future of artificial intelligence, making machines think more like humans.
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