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OpenAI o3

A new generation of the strongest inference model

#Artificial Intelligence
#inference model
#multimodal reasoning
#math competition
#Programming competition
#scientific problem solving
OpenAI o3

Product Details

The OpenAI o3 model is a new generation of inference model after o1, including o3 and o3-mini versions. o3 is close to artificial general intelligence (AGI) under certain conditions, scoring as high as 87.5% on the ARC-AGI benchmark, far exceeding the human average. It performed well on math and programming tasks, scoring 96.7% in the 2024 American Invitational Mathematics Examination (AIME) and achieving a Codeforces rating of 2727. o3 is able to self-fact check and reason through "private thought chains" to improve the accuracy of answers. o3 is the first model trained using "deliberative alignment" technology to comply with safety principles. Currently, the o3 model is not widely available, but security researchers can sign up to preview the o3-mini model. The o3 mini version will be launched at the end of January, followed by the o3 full version shortly thereafter.

Main Features

1
Top mathematical reasoning ability: o3 performs well on complex mathematical problems, such as achieving an accuracy of 96.7% in the American AIME mathematics competition.
2
Excellent programming performance: Obtained an ELO score of 2727 on the CodeForces programming competition platform, surpassing the level of top programmers, and supporting code generation and execution of complex tasks.
3
Scientific problem-solving ability: In the GPQA scientific benchmark test, o3 achieved an accuracy of 87.7%, significantly exceeding the average level of human experts.
4
Transparent reasoning path: Provide a clear reasoning process, showing the logical ideas and intermediate conclusions of each step.
5
Efficient multi-tasking: supports long context input and can handle complex multi-step instructions.
6
The lightweight version of o3Mini: provides low-cost and efficient computing capabilities, suitable for application scenarios with limited budgets.
7
Powerful multi-modal support: It can handle mixed input of text and images, providing powerful support for multi-modal reasoning scenarios.

How to Use

1
1. Register and visit the OpenAI official website to apply for preview permission of the o3-mini model.
2
2. Understand the basic operations and functions of the o3 model according to the official documents and guides.
3
3. Under the supervision of security researchers, use the o3 model for mathematical problem solving, programming tasks, or scientific problem research.
4
4. Use the multi-modal support of the o3 model to process mixed input of text and images for visual reasoning and cross-modal problem solving.
5
5. Depending on the complexity of the task, adjust the model’s thinking time to achieve optimal performance.
6
6. During use, observe the transparent reasoning path provided by the o3 model to enhance the credibility and explainability of decision-making.

Target Users

The target audience is professionals such as scientific researchers, educators, software developers and data analysts. The high-performance computing and reasoning capabilities of the o3 model make it an ideal tool for solving complex problems, especially in application scenarios that require precise mathematical calculations and programming logic.

Examples

In the field of education, the o3 model can help students solve mathematical problems and provide problem-solving ideas and methods.

In software development, o3 can be used as a programming assistant to help developers write, debug and optimize code.

In scientific research work, o3 is suitable for data analysis and problem modeling, helping scientists deal with complex scientific problems.

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