OpenAI o1 Models - What & How to use o1-preview & o1-mini

OpenAI has unveiled its latest breakthrough in artificial intelligence: OpenAI o1 model specifically 2 models "o1-preview" & "o1-mini" . This new series of models represents a significant leap forward in AI capabilities, particularly in complex reasoning tasks.

What is OpenAI o1 Preview Model

OpenAI has recently unveiled the o1 model, a new series of AI models designed to enhance reasoning capabilities and problem-solving skills. Released on September 12, 2024, this model represents a significant advancement in artificial intelligence, particularly in areas such as mathematics, coding, and complex task resolution. In summary, OpenAI's o1 model marks a pivotal step towards creating AI that can reason and solve problems with a level of sophistication that approaches human-like thought processes.

Key Features of OpenAI o1 Preview Model

• Enhanced Reasoning: o1 is designed to spend more time "thinking" before responding, allowing it to tackle complex problems in science, coding, and math more effectively.
• Self-Fact-Checking: The model can reason through tasks holistically, effectively fact-checking itself and improving accuracy.
• Two Initial Models:
  • o1-preview: The main model with broad capabilities
  • o1-mini: A smaller, more efficient model focused on coding tasks
• Impressive Performance: In tests, o1 outperformed previous models significantly:
  • Scored 83% on International Mathematical Olympiad qualifying exams (compared to GPT-4o's 13%)
  • Reached the 89th percentile in Codeforces programming challenges
• Improved Safety: o1 demonstrates enhanced ability to adhere to safety guidelines, scoring 84/100 on a jailbreaking test (compared to GPT-4o's 22/100).

On the launch of OpenAI o1 Preview Model Sam Altman, CEO of OpenAI says "o1 is still flawed, still limited, and it still seems more impressive on first use than it does after you spend more time with it. But also, it is the beginning of a new paradigm: AI that can do general-purpose complex reasoning."

How to use OpenAI o1 Preview Model

Starting today, ChatGPT Plus and Team subscribers can leverage the power of O1 models, including O1-Preview and O1-Mini, to enhance their AI experience. These cutting-edge models can be manually selected in the model picker, with initial weekly rate limits set at 30 messages for O1-Preview and 50 for O1-Mini. Our team is working to increase these limits and enable seamless model selection for optimal performance. Availability and access of Open AI o1 Models are as follows.

• ChatGPT Enterprise and Edu users: Access to O1 models begins next week
• Developers: API usage tier 5 qualifies for prototyping with O1 models, with a rate limit of 20 RPM
• ChatGPT Free users: O1-Mini access planned for future release

Limitations and Considerations of OpenAI o1 Preview Model

• Currently lacks some features of GPT-4o, such as web browsing and file analysis
• Can be slower than previous models for certain queries
• Higher cost compared to GPT-4o (3-4x more expensive in the API)
• May have a tendency to hallucinate in some cases

OpenAI o1 Preview Model Evals & Benchmarks

To demonstrate the improvement in reasoning compared to GPT-4o, the models were tested on a wide range of human exams and machine learning benchmarks. The results show that o1 significantly outperforms GPT-4o on the majority of these reasoning-intensive tasks. Unless otherwise noted, o1 was evaluated using the maximal test-time compute setting

o1 demonstrates a substantial improvement over GPT-4o on difficult reasoning benchmarks. The solid bars represent pass@1 accuracy, while the shaded regions illustrate the performance of majority vote (consensus) using 64 samples.

o1 outperforms GPT-4o across a broad spectrum of benchmarks, including 54 out of 57 MMLU subcategories. Seven of these subcategories are highlighted for illustration purposes.

On many reasoning-heavy benchmarks, o1 matches human expert performance. With recent models excelling in MATH and GSM8K, these benchmarks are less effective for differentiation. o1 was tested on the 2024 AIME exam, where GPT-4o solved 12% of problems, while o1 achieved 74% with one sample, 83% with consensus from 64 samples, and 93% using re-ranking. This score ranks it among the top 500 students nationally.

o1 also outperformed PhD experts in GPQA-diamond, a challenging benchmark in chemistry, physics, and biology. Additionally, o1 achieved 78.2% on MMMU with vision capabilities, making it competitive with human experts, and surpassed GPT-4o in 54 out of 57 MMLU subcategories.

In future as OpenAI o1 model will come out of preview stage and into a stable version it will perform better on various benchmarks.

OpenAI o1 Preview Model Chain of Thought

Like a human who takes time to think before answering a difficult question, o1 uses a chain of thought to tackle problems. Through reinforcement learning, it refines this process, learning to identify and correct mistakes, break down complex steps into simpler ones, and switch strategies when needed. This approach significantly enhances the model’s reasoning capabilities.

Use cases for OpenAI o1 Preview Model

• Scientific research: Assisting in complex calculations, data analysis, and hypothesis testing. OpenAI's o1 Models: The New Frontier of AI Reasoning | by Cogni Down Under - Medium
• Coding and development: Generating code, debugging, and optimizing software.  Introducing OpenAI o1-preview
• Mathematical problem-solving: Tackling difficult equations and proofs.  1. Introducing OpenAI o1-preview

OpenAI o1 represents a significant advancement in AI technology, offering developers and enterprises the ability to tackle more challenging tasks and achieve better results.  

What's Next with OpenAI o1 Preview Model?

OpenAI plans to continue developing both the o1 series and their GPT series. Future updates may include:

• Adding features like web browsing and file uploading to o1
• Experimenting with models that can reason for extended periods (hours, days, or weeks)

OpenAI o1 represents a significant step forward in AI reasoning capabilities. While it's still in its early stages, the potential applications in fields ranging from scientific research to advanced coding are immense. As with any major AI advancement, it will be crucial to monitor its development and impact closely.