o1-Preview?—?Everything You Need to Know About OpenAI’s New Model in 2024

OpenAI’s new model, o1-preview, just got released, and I’m super excited! Let’s unpack all of the new features of OpenAI’s new model, which had the codename Strawberry.

What is o1-Preview?

o1-preview is a new series of reasoning models designed to solve complex problems and perform expert-level reasoning. It’s the next generation of models from OpenAI, and it’s been trained using a large-scale reinforcement learning algorithm. This algorithm allows the model to learn how to use the “Chain of Thought” to think about problems productively.

Chain of?Thought

The Chain of Thought is a reasoning method that involves breaking down complex problems into smaller, more manageable steps. It’s similar to how humans think about difficult problems?—?we break them down, try different strategies, and correct mistakes. o1-preview uses this method to solve complex tasks, such as math problems or programming tasks.

Technical Principle

OpenAI uses a large-scale reinforcement learning algorithm to train the o1-preview model. This algorithm allows the model to learn how to use the Chain of Thought to think about problems productively. During the training process, the model will continuously optimize its chain of thought through reinforcement learning, ultimately improving its problem-solving ability.

Performance

The performance of o1-preview is impressive. In OpenAI’s internal tests, the model performed at nearly PhD-level levels in solving complex problems, particularly in tasks in subjects like physics, chemistry, and biology. For example, in the qualifying exam for the International Mathematical Olympiad (IMO), the GPT-4o model only solved 13% of the problems correctly, while o1-preview solved 83% of the problems correctly.

Evaluation and Benchmarking

o1-preview has been evaluated and benchmarked using various methods, including the American Invitational Mathematics Examination (AIME). The results show that o1-preview significantly outperforms GPT-4o in complex problem-solving tasks.

Limitations

While o1-preview is a powerful model, it’s not without its limitations. For example, it does not support web browsing, file and image uploading, or drawing. Additionally, the API does not support fields such as system and tool, and methods such as json mode and structured output.

Pricing and Restrictions

o1-preview is currently available through the ChatGPT web version or API. However, there are restrictions on usage. For example, only Plus and Team users can access o1-preview through the ChatGPT web version, while Enterprise and Edu users will have to wait another week. API users will need to have a Tier 5 level (payment amount > $1,000) to access o1-preview.

Conclusion

o1-preview is an impressive model that has the potential to revolutionize the way we approach complex problem-solving. Its ability to use the Chain of Thought to think about problems productively makes it a valuable tool for businesses and individuals looking to optimize their systems.

Problem

Let’s say you’re a business owner who wants to optimize your supply chain management system. You have a complex network of suppliers, manufacturers, and distributors, and you want to find the most efficient way to manage your inventory. How would you use o1-preview to solve this problem?

Join Me on This?Journey

I’ll be exploring this problem and many others in my upcoming AI Business Systems Handbook, which will be available for free download when it’s ready. I’ll be running various experiments with o1-Preview and building my own optimal business systems with AI, and I invite you to join me on this journey. Stay tuned for more updates, and let’s see how we can use AI to streamline our business systems. Check it out here?—?https://www.augmentedstartups.com/ai-business-systems-signup

Final Thoughts

o1-preview is a powerful tool that has the potential to revolutionize the way we approach complex problem-solving. While it’s not without its limitations, it’s an exciting development in the world of AI and large language models. I’ll be keeping a close eye on this model and exploring its potential applications in the business world.