Introduction

The OpenAI o1-preview is the first model in a new series of AI reasoning models designed for complex problem-solving. Officially launched on September 12, 2024, it represents a significant leap in artificial intelligence's ability to reason through intricate tasks and deliver accurate solutions in areas such as mathematics, coding, and science. The o1 model is part of OpenAI's initiative to create AI that “thinks” more deeply before responding, enabling it to solve harder problems than previous models.

o1 LLM

The o1 model introduces reasoning tokens as a fundamental part of its architecture. These tokens allow the model to process complex tasks more methodically by thinking through multiple strategies, much like a human would, before formulating a final response. While traditional models might rely on fast, surface-level associations, the o1 model takes additional steps to consider potential errors and refine its understanding during problem-solving. This unique reasoning process sets it apart from previous large language models (LLMs).

The model does not yet support browsing, image processing, or file uploads, but it excels in tasks requiring complex reasoning, particularly in mathematics and scientific disciplines.

Run o1-preview with an API

Running the API with Clarifai's Python SDK

You can run the o1-preview Model API using Clarifai’s Python SDK.

Export your PAT as an environment variable. Then, import and initialize the API Client.

Find your PAT in your security settings.

export CLARIFAI_PAT={your personal access token}

from clarifai.client.model import Model

prompt = "What’s the future of AI?"

openai_api_key = OpenAI_API_KEY

inference_params = dict(temperature=0.2, max_tokens=100, api_key = openai_api_key)

# Model Predict
model_prediction = Model("https://clarifai.com/openai/chat-completion/models/o1").predict_by_bytes(prompt.encode(), input_type="text", inference_params=inference_params)

print(model_prediction.outputs[0].data.text.raw)

You can also run o1 Turbo API using other Clarifai Client Libraries like Java, cURL, NodeJS, PHP, etc here.

Aliases: o1, O-1, o1-preview, o1 preview

Use Cases

The OpenAI o1-preview model is optimized for advanced problem-solving scenarios, including but not limited to:

• Scientific research: Tackling intricate questions in physics, chemistry, and biology by reasoning through theories and data.
• Mathematics: Successfully solving advanced problems, including those from competitions like the International Mathematics Olympiad.
• Coding: Excelling in programming competitions such as Codeforces, making it useful for advanced software development and algorithm generation.
• Advanced learning environments: Serving as a tutor or assistant for students or researchers working on complex topics in STEM fields.

Evaluation and Benchmark Results

The o1-preview model has been evaluated on multiple benchmarks, demonstrating a remarkable leap in reasoning capability:

• Mathematics: In a qualifying exam for the International Mathematics Olympiad (IMO), GPT-4o correctly solved only 13% of the problems, while the o1-preview model scored 83%.
• Coding: The o1-preview model ranked in the 89th percentile in Codeforces programming competitions.
• Scientific tasks: On challenging benchmark tasks in physics, chemistry, and biology, the model's performance is comparable to that of PhD students, making it a highly effective tool in academic and research contexts.

In safety tests, the o1-preview model excelled in following safety guidelines, especially in resisting jailbreak attempts, scoring 84 on a 0-100 scale, compared to GPT-4o's score of 22.

Dataset

The OpenAI o1-preview model is trained on a diverse range of datasets, similar to other GPT-based models, with particular emphasis on datasets that allow for reasoning and complex problem-solving. It incorporates large datasets from coding platforms, mathematical problem banks, and scientific literature. The model has been fine-tuned to tackle reasoning-based tasks, with special attention to datasets that allow it to break down and analyze problems in a multi-step fashion.

Advantages

• Advanced Reasoning: The introduction of reasoning tokens allows o1-preview to "think" through problems before responding, resulting in higher accuracy on complex tasks.
• Superior Performance: Outperforms previous models like GPT-4o in areas like mathematics, coding, and scientific problem-solving.
• Improved Safety: Excels at adhering to safety and alignment guidelines, significantly outperforming previous models in resisting jailbreaking attempts.
• Methodical Approach: More human-like in its problem-solving approach, refining its thinking process to provide accurate, high-quality answers to difficult questions.

Limitations

• Limited Features: The o1-preview lacks multimodal capabilities such as image processing, browsing, or file uploads, making it less suitable for tasks that require these features.
• Beta Restrictions: During its beta phase, several API parameters are not yet available, including temperature control, top-p, and frequency penalties, limiting user control over the model’s responses.
• Speed vs. Accuracy: Due to the model’s reasoning mechanism, which involves a more deliberate thinking process, responses can take longer compared to faster, less reasoned models. Complex queries may take from a few seconds to several minutes to complete.

The OpenAI o1-preview is a pioneering advancement in reasoning capabilities, well-suited for tasks requiring deep thinking and accuracy, though it is still in the beta phase and lacks certain capabilities of more general models like GPT-4.

Disclaimer

Please be advised that this model utilizes wrapped Artificial Intelligence (AI) provided by OpenAI (the "Vendor"). These AI models may collect, process, and store data as part of their operations. By using our website and accessing these AI models, you hereby consent to the data practices of the Vendor. We do not have control over the data collection, processing, and storage practices of the Vendor. Therefore, we cannot be held responsible or liable for any data handling practices, data loss, or breaches that may occur. It is your responsibility to review the privacy policies and terms of service of the Vendor to understand their data practices. You can access the Vendor's privacy policy and terms of service at https://openai.com/policies/privacy-policy. We disclaim all liability with respect to the actions or omissions of the Vendor, and we encourage you to exercise caution and to ensure that you are comfortable with these practices before utilizing the AI models hosted on our site.