Sam Altman, CEO of OpenAI, transferred that the new reasoning model on January 17, 2025 completed the o3 mini version of that3 and will be released in several weeks.
Differences between GPT and O models
OpenAI, known for ChatGPT, is a US-based AI company. ChatGPT has now started to be a platform that almost everyone knows and uses. GPT models were restricted to what they can do because they use a more text-based system. "o" models work to give more realistic answers using special reasoning systems. "o" models use multimodal system; meaning text, audio, picture, can upload multiple inputs and comment faster answers. It also shows great success in areas such as science, math, coding.
Summary; While GPT has a wider range of uses, "o" models perform success in areas requiring expertise. As we know, natural language processing in such applications has an important use. In addition to this, multimodal systems used in "o" models natural language processing If you want to learn more about how to combine with "NLP’s Future: 5 Critical Area and Work"You can read our article.
LLMs How To Take Mind?
"o1" model, When responding to a question, it conducts mind like human. When conducting human mind, the brain combines various thoughts and decides as a result of a reason. "o1" model also conducts mind by using these thought chains. As we expect from artificial intelligence, it takes lessons from errors.
Performance and Achievements of o1 Model:
- Math Performance: o1 model left GPT-4o with the success rate of (2024) 93% in AIME, one of the most difficult high school math exams in America, and entered the first 500 across the country.
Successes in Science Areas: o1 left behind the performance of experts with a degree of doctor in comparison of the tough GPQA diamond in chemistry, physics and biology fields.Vision Detection Ability: o1 model was the first model that can compete with human experts taking 78%,2% points in MMMU tests.General Performance: o1 left behind the latest technology in comparison of many machine learning (ML) and showed better performance than GPT-4o in 54 of 57 MMLU subcate.OpenAI's Innovation
Over the past month OpenAI introduced a different technology every day in a 12-day series. On the 12th day of the series "o series" shared new alignment strategies. They said that they use intentional alignment methods in the models of "o" and they have more realistic results. It is provided to be trained according to criteria such as scientific accuracy, reliability and understandability to result in the model more accurately in the contracted alignment. By using muscular alignment, OpenAI has transferred to identify the text related to the internal policy and to draft more secure responses, using the idea chain (CoT) logic.
Because modern LLMs have to create quick response, most often can create a vulnerability. For example, like giving ideas to someone looking for methods to process crime. OpenAI is trying to block these security open with a method called conscious alignment. Conscious alignment (intentional swelling) is the approach to teaching security properties directly to the model and to educate consciously on time of interest on these features. This aims to produce safe responses that are suitable for certain binding. Other approaches use security properties only as a training label and their properties are not modeled.
Consistent alignment has the ability to make complex reasoning on the security features of the model at the time of time and is unique from this care. Other strategies are limited to certain ways of reasoning and does not contain reasoning directly on security features. As a result, o1 model, GPT-4o, Claude 3.5 Sonnet and Gemini 1.5 Compared with Pro, security evaluations are successful in most. The ability on LLM can increase misaligning and abuse as it increases. Home OpenAI, By using alignment techniques, it states that they exceed this problem.
What Does O3 Model Difference?
We mentioned above as "o" models use special thought chains. These thought systems were developed in the "o3" model. Thus, it provides superior performance in terms of reasoning. Users can determine how much users should consider on a problem with three different modes: due to low, medium and high modes, the process time is optimized. It also offers faster results since calculation strength is lower. Human-oriented security compliance with "o3 mini" is increased. Thanks to the feature of providing special information to children, it also provides benefits. It uses a safer language on sensitive matters. In short, "o3 mini" aims to provide more effective and secure results with lower processing power.
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Sam Altman, CEO of OpenAI, transferred that the new reasoning model on January 17, 2025 completed the o3 mini version of that3 and will be released in several weeks. Differences between GPT and O models OpenAI, known for ChatGPT, is a US-based AI company. ChatGPT has now started to be a platform that almost everyone knows and uses. GPT models were restricted to what they can do because they use a more text-based system. "o" models work to give more realistic answers using special reasoning systems. "o" models use multimodal system; meaning text, audio, picture, can upload multiple inputs and comment faster answers. It also shows great success in areas such as science, math, coding. Summary; While GPT has a wider range of uses, "o" models perform success in areas requiring expertise. As we know, natural language processing in such applications has an important use. In addition to this, multimodal systems used in "o" models natural language processing If you want to learn more about how to combine with " NLP’s Future: 5 Critical Area and Work "You can read our article. LLMs How To Take Mind? "o1" model, When responding to a question, it conducts mind like human. When conducting human mind, the brain combines various thoughts and decides as a result of a reason. "o1" model also conducts mind by using these thought chains. As we expect from artificial intelligence, it takes lessons from errors. Performance and Achievements of o1 Model: Math Performance: o1 model left GPT-4o with the success rate of (2024) 93% in AIME, one of the most difficult high school math exams in America, and entered the first 500 across the country. Successes in Science Areas: o1 left behind the performance of experts with a degree of doctor in comparison of the tough GPQA diamond in chemistry, physics and biology fields. Vision Detection Ability: o1 model was the first model that can compete with human experts taking 78%,2% points in MMMU tests. General Performance: o1 left behind the latest technology in comparison of many machine learning (ML) and showed better performance than GPT-4o in 54 of 57 MMLU subcate. OpenAI's Innovation Over the past month OpenAI introduced a different technology every day in a 12-day series. On the 12th day of the series "o series" shared new alignment strategies. They said that they use intentional alignment methods in the models of "o" and they have more realistic results. It is provided to be trained according to criteria such as scientific accuracy, reliability and understandability to result in the model more accurately in the contracted alignment. By using muscular alignment, OpenAI has transferred to identify the text related to the internal policy and to draft more secure responses, using the idea chain (CoT) logic. Because modern LLMs have to create quick response, most often can create a vulnerability. For example, like giving ideas to someone looking for methods to process crime. OpenAI is trying to block these security open with a method called conscious alignment. Conscious alignment (intentional swelling) is the approach to teaching security properties directly to the model and to educate consciously on time of interest on these features. This aims to produce safe responses that are suitable for certain binding. Other approaches use security properties only as a training label and their properties are not modeled. Consistent alignment has the ability to make complex reasoning on the security features of the model at the time of time and is unique from this care. Other strategies are limited to certain ways of reasoning and does not contain reasoning directly on security features. As a result, o1 model, GPT-4o, Claude 3.5 Sonnet and Gemini 1.5 Compared with Pro, security evaluations are successful in most. The ability on LLM can increase misaligning and abuse as it increases. Home OpenAI, By using alignment techniques, it states that they exceed this problem. What Does O3 Model Difference? We mentioned above as "o" models use special thought chains. These thought systems were developed in the "o3" model. Thus, it provides superior performance in terms of reasoning. Users can determine how much users should consider on a problem with three different modes: due to low, medium and high modes, the process time is optimized. It also offers faster results since calculation strength is lower. Human-oriented security compliance with "o3 mini" is increased. Thanks to the feature of providing special information to children, it also provides benefits. It uses a safer language on sensitive matters. In short, "o3 mini" aims to provide more effective and secure results with lower processing power. Source
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