OpenAI launches new AI model o1 with PhD-level performance | VentureBeat
following months of reports and rumors that intensified in recent days, OpenAI announced its “o1” AI model family beginning with two models: o1-preview and o1-mini, which the company says are designed to “reason through complex tasks and solve harder problems” than the GPT series models.
The o1-preview model is designed to handle challenging tasks by dedicating more time to thinking and refining its responses, similar to how a person would approach a complex problem.
In tests, this approach has allowed the model to perform at a level close to that of PhD students in areas like physics, chemistry, and biology.
OpenAI envisions the models being used for a wide range of applications, from helping physicists generate mathematical formulas for quantum optics to assisting healthcare researchers in annotating cell sequencing data.
Developers will also find the o1-mini model effective for building and executing multi-step workflows, debugging code, and solving programming challenges efficiently.
In benchmark tasks such as the International Mathematics Olympiad (IMO) qualifying exam, o1-preview demonstrated its prowess by solving 83% of the problems, a sharp improvement over the 13% success rate of its predecessor, GPT-4o.
Coding with OpenAI o1 - YouTube
OpenAI - YouTube
"learn to code to learn how to think"
