Today, optimization problems are usually solved using one of a number of maximum-flow algorithms, often shortened as max-flow. Max flow models a network by constructing a graph that represents all ...

Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics ... Then AlphaDev found ways to make key algorithms used trillions of times a day run ...

A new algorithm efficiently solves the graph isomorphism problem, computer scientist László ... Corresponding nodes are shown in the same color. In math terminology, “graph” is a fancy ...

This new approach sidesteps the limitations of traditional math-based optimizers by using natural language to guide LLMs in problem ... Imagine a model's performance as a curve on a graph: The ...

Language models like ChatGPT and GPT-4 can do some math, but not very well or reliably. We currently don’t have the algorithms or even the right architectures to be able to solve math problems ...

Most AI models ... as algorithms, making it a poor fit for problems that aren’t numerical. To benchmark AlphaEvolve, DeepMind had the system attempt a curated set of around 50 math problems ...