3 Palms-On Experiments with OpenAI's o1 You Must See - Top Of ...
The latest advancement in AI, OpenAI's LLM GPT-4o, has been known for delivering impressive responses quickly. However, with the introduction of their latest model, o1, OpenAI has taken a significant leap by creating models that can think and reason before responding, a trait previously considered unique to only a few individuals.
OpenAI's o1 series is designed to spend more time thinking before generating a response, surpassing previous versions and even outperforming many individuals on various platforms like the USA Math Olympiad (AIME), GPQA research, and Codeforces. The o1 series represents OpenAI's significant progress towards AGI, excelling in reasoning, science, coding, and mathematics.
Experimenting with OpenAI's o1
In this blog, I conducted three experiments involving physics, chemistry, and biology, combined with mathematics and coding, to showcase the capabilities of OpenAI o1.
The biggest challenge in science education is often the lack of visualization. OpenAI's o1 model allows for creating simulations and visualizations of scientific concepts without the need for coding, enhancing the learning experience and retention of information.
For the first experiment, I presented problems from physics, chemistry, and biology to OpenAI's o1 model. The solutions required logical reasoning, mathematical calculations, and coding, and the results were truly mind-blowing.
Before delving into the experiments, I recommend reading our article on How to Access OpenAI o1.
Experiment 1: Physics - Modeling the Solar System
I tasked OpenAI's o1 with creating a scientifically accurate simulation of our solar system, showcasing the unique speeds at which each planet revolves around the Sun. The model generated impressive visualizations based on logical calculations and coding.
To run the simulation code, follow these instructions.
Experiment 2: Chemistry - Chemical Reactions Simulation
Next, I asked OpenAI's o1 to create a simulation where users could select an acid, a base, and their quantities to predict the resulting chemical product. The interactive simulation showcased the outcomes of different chemical reactions.
To run the simulation code, follow these instructions.
Experiment 3: Biology - Protein Builder Simulation
Lastly, I tasked OpenAI's o1 with creating an interactive simulation for generating unlimited combinations of proteins and understanding their functions. The simulation aimed to simplify the complexity of protein interactions.
To run the simulation code, follow these instructions.
The experiments with OpenAI's o1 model showcased its capabilities in reasoning, logical thinking, and coding. While it still lacks certain features available in GPT-4o, such as web browsing or image processing, the potential of o1 to revolutionize education and problem-solving is evident.
Stay updated on Analytics Vidhya blog for more insights into the applications of OpenAI's o1 model.
