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OpenAI o1

AI reasoning model, a new series for solving complex problems.

#programming
#AI model
#scientific computing
#Complex problem solving
#safety training
OpenAI o1

Product Details

OpenAI o1 is a series of newly developed AI models designed to solve complex problems in fields such as science, coding and mathematics through longer thinking. These models learn through training, allowing them to refine their thought processes, try different strategies, and identify errors. In the International Mathematical Olympiad qualifying competition, the o1 model scored much higher than the previous GPT-4o model, demonstrating its advantages in mathematics and coding. In addition, the o1 series introduces new safety training methods, allowing it to better follow safety and alignment guidelines.

Main Features

1
Ability to reason about complex tasks and solve difficult problems
2
Perform equivalently to PhD students on challenging benchmark tasks in physics, chemistry, and biology
3
Correctly solved 83% of the problems in the International Mathematical Olympiad Qualifying Competition
4
Achieve a rank of 89% in the Codeforces competition
5
New safety training methods to improve the model’s ability to follow safety rules
6
Collaborate with AI safety institutes in the US and UK to ensure model safety
7
o1-mini version available, focused on coding tasks and more cost-effective

How to Use

1
Register and log in to ChatGPT Plus or Team account
2
Manually select o1 model in ChatGPT
3
Choose o1-preview or o1-mini model according to your needs
4
Enter a specific task or question and let the model reason and answer it
5
Evaluate model output and make adjustments as needed
6
For API users, you need to reach API usage level 5 and then follow the API documentation
7
For ChatGPT Free users, wait for the subsequent opening of o1-mini model access rights.
8
Follow OpenAI updates regularly to get the latest features and improvements to your models

Target Users

The target audience includes scientific researchers, physicists, developers, etc., who need to process complex data, generate complex mathematical formulas, or perform multi-step workflows. The advanced reasoning capabilities of the o1 model can help them improve efficiency and accuracy in their respective fields.

Examples

Medical researchers use o1 model to annotate cell sequencing data

Physicists use o1 model to generate complex mathematical formulas needed for quantum optics

Developers use o1 models to build and execute multi-step workflows

Quick Access

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Categories

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› AI model
› AI development platform

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