FunSearch: Making new discoveries in mathematical sciences using LLMs

1. 1Explore the FunSearch project and its application of LLMs in mathematical sciences
2. 2Apply LLMs to your own mathematical research using libraries like PyTorch or TensorFlow
3. 3Configure your LLM model to work with mathematical notation and symbols
4. 4Test your LLM model on a dataset of mathematical problems or theorems
5. 5Compare the results of your LLM model with traditional methods of mathematical discovery

Data scientists and mathematicians can benefit from this technique to accelerate their research and discovery process. Developers can also learn how to integrate LLMs into their workflow to improve productivity.

💡 LLMs can be used to accelerate mathematical discovery and research

🚀 FunSearch uses LLMs to make new discoveries in math sciences! 🤖