The new product has one interesting difference: o1's thinking process has been worked out more thoroughly. The new network "thinks" about which approach to choose to solve a problem.
Unlike previous models, o1 spends more time processing information before responding. That's why o1's creators position the development as a technology for solving complex problems that require multi-step reasoning.
I immediately tested o1 in operation. I asked it to solve an unusual DS task on optimizing the unloading code and calculations on data. I can say that o1 did an excellent job, described possible methods "without fluff". In addition, he gave me the working code, which accelerated the unloading by 1.3 times! Unfortunately, GPT-4o did worse with a similar task: he superficially wrote many solutions, but the code was incorrect.
Maria Zharova,
data scientist at Wildberries
According to the developers of OpenAI, the strategy of el salvador telegram data generating answers that the o1 system uses is called "chain of thoughts." It is a method that allows for the development of intermediate stages of reasoning and analysis that lead to a final answer, even on complex topics.
The successful learning ability of the neural network is ensured by the reinforcement learning method . This mechanics allows the system to be pumped up by acts of encouragement and punishment, reinforcing the correct answer/answer option.
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Become a data scientist on a course with Moscow State University and solve ambitious tasks using neural networks
The advanced o1 model is particularly well suited for certain tasks:
Improved reasoning: The o1 model is optimized for complex reasoning tasks, especially in STEM (science, technology, engineering, and mathematics).
Brainstorming and idea generation: The model's advanced reasoning capabilities make it useful for developing creative ideas and solutions in a variety of contexts.
Scientific research. o1 is suitable for scientific research tasks. For example, AI can annotate cell sequencing data and process complex mathematical formulas for quantum optics.