Have you heard the big news? OpenAI just rolled out preview of a new series of AI models – OpenAI o1 (also known as Project Strawberry/Q*). These models are special because they spend more time “thinking” before they give you an answer. That means they’re better at tackling really tough problems in areas like science, coding, and math compared to earlier models, largely thanks to the advanced OpenAI o1 parameters.
OpenAI is taking the motto “Think Before You Speak” to heart with the o1 series!
Overview
- OpenAI’s new o1 model series excels in reasoning through tough problems in math, science, and coding, outshining previous versions.
- The o1-preview model tackles advanced tasks, solving 93% of AIME math problems and surpassing human experts in scientific benchmarks. Much of this success comes down to how effectively OpenAI o1 parameters are set to handle complex tasks.
- OpenAI’s o1-mini offers powerful coding capabilities at 80% of the cost, making it an accessible tool for developers.
- With improved safety measures, the o1 models ensure responsible AI use while providing enhanced problem-solving for researchers, developers, and educators.
Table of contents
What’s the Big Deal?
The o1-preview models are trained to take a step back and really think things through, much like a human would when faced with a tough problem. They consider different approaches, refine their thoughts, and even catch their own mistakes along the way. This deeper level of thinking allows them to solve problems that older models couldn’t handle.
Use Cases of OpenAI o1
Coding with OpenAI o1
Writing Puzzles with OpenAI o1
HTML Snake with OpenAI o1
Impressive Test Results
To see how much better o1 is compared to the earlier GPT-4o model, OpenAI put them through a series of tough tests, including human exams and machine learning benchmarks. And guess what? o1 outperformed GPT-4o on most of these reasoning-heavy tasks!
Let’s break down some of the results:
Advanced Math Competitions
They tested the models on the AIME (American Invitational Mathematics Examination), which is a super challenging math exam for top high school students in the U.S.
- GPT-4o: Solved about 12% of the problems (roughly 1.8 out of 15 questions).
- OpenAI o1: Solved 74% with just one attempt per problem (around 11.1 out of 15). When they let the model try multiple times and took the most common answer, it scored 83%. Using even more advanced methods, it reached 93%, solving about 13.9 out of 15 problems!
To put that into perspective, a score of 13.9 would place o1 among the top 500 students nationally and above the cutoff for the USA Mathematical Olympiad. That’s some serious brainpower!
Science Expertise
They also evaluated o1 on GPQA-diamond, a tough benchmark that tests knowledge in chemistry, physics, and biology. OpenAI even brought in experts with PhDs to answer these questions.
- Result: o1 outperformed these human experts, becoming the first AI model to do so on this benchmark! This shows that o1 can solve complex scientific problems at a very high level.
Coding
In coding competitions like Codeforces, the new models reached the 89th percentile, showing they can generate and debug complex code with ease.
Other Benchmarks and Visual Understanding
But that’s not all! The o1 model also showed significant improvements in other areas:
Understanding Visual Information (Vision Perception)
The o1 model can now interpret and understand images—a capability known as vision perception. This means it can analyze visual data and answer questions about it, which is a big step forward for AI.
Medical Imaging Test (MMMU Benchmark)
OpenAI tested o1 on a challenging benchmark called MMMU (which stands for Multimodal Medical Machine Understanding). This test evaluates how well an AI can understand medical images and make accurate assessments, similar to tasks performed by medical professionals.
Result: o1 scored 78.2% on this test, making it the first AI model to perform at a level comparable to human experts in medical imaging. This is huge because understanding and interpreting medical images requires deep knowledge and precision.
Wide Range of Knowledge (MMLU Benchmark)
The o1 model was also tested on the MMLU (Massive Multitask Language Understanding) benchmark, which covers 57 different subjects ranging from history and literature to mathematics and computer science.
Result: o1 outperformed GPT-4o in 54 out of 57 subjects! This shows that o1 isn’t just specialized in one area—it’s demonstrating improved understanding across a broad spectrum of topics.
In simpler terms, o1’s ability to understand both text and images means it’s becoming more versatile and capable. Whether it’s analyzing complex medical images, solving advanced math problems, or answering questions across various subjects, o1 is setting new standards for what AI can do.
Meet o1-mini
OpenAI has also introduced o1-mini, a smaller, faster, and more affordable version of the o1-preview model that’s especially good at coding tasks. It’s 80% cheaper, making it a great option for developers who need powerful reasoning abilities without breaking the bank.
Math with o1 Mini
Also Read: OpenAI’s o1-mini: A Game-Changing Model for STEM with Cost-Efficient Reasoning
Who can use o1-preview?
These new models are a game-changer for anyone dealing with complex problems:
- Researchers and Scientists: They can help annotate cell sequencing data or generate complex formulas needed in fields like quantum physics.
- Developers: Building and executing multi-step workflows becomes easier and more efficient.
- Students and Educators: They offer a new way to explore challenging concepts in math and science.
How to access o1-Preview?
ChatGPT Plus and Team Users: You can access the o1-preview and o1-mini models in ChatGPT starting today. Just select them from the model picker. There are weekly message limits for now (30 messages for o1-preview and 50 for o1-mini), but OpenAI is working to increase these limits soon.
- ChatGPT Enterprise and Edu Users: You’ll get access to both models starting next week.
- Developers: If you’re in API usage tier 5, you can start experimenting with these models through the API today. Some features like function calling and streaming aren’t available yet, but they’re on the way.
- ChatGPT Free Users: Great news! OpenAI plans to make o1-mini available to all free users soon.
Safety Also Matters
OpenAI has also stepped up the safety features with these models. They’ve been trained to better understand and follow safety guidelines by reasoning about the rules during conversations. This means they’re less likely to be tricked into doing something they shouldn’t (you might have heard of “jailbreaking” AI models).
In tough safety tests, the o1-preview model scored 84 out of 100, compared to GPT-4o’s score of 22. That’s a significant improvement, showing they’re much better at staying within safe and appropriate boundaries.
OpenAI is working closely with safety organizations in the U.S. and U.K. They’ve even given these institutes early access to the models to help with research and ensure everything is up to par.
What’s Next?
This is just the beginning. OpenAI is planning regular updates and improvements to these models. They’re looking to add features like browsing the web, uploading files and images, and more to make them even more helpful.
They’re also continuing to develop models in the GPT series alongside this new o1 series, so there’s a lot to look forward to.
Final Thoughts
The launch of the o1-preview and o1-mini models is a big deal in the AI world. They represent a significant step forward in how AI can reason through complex problems. With better performance and enhanced safety measures, these models are set to be game-changers for many people working on challenging tasks.
Stay tuned to Analytics Vidhya blog to know more about the uses of o1 and o1 mini!
I’m a data lover who enjoys finding hidden patterns and turning them into useful insights. As the Manager - Content and Growth at Analytics Vidhya, I help data enthusiasts learn, share, and grow together.
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