Welcome to ARCchemyLab, where we explore novel approaches to solving the Abstraction and Reasoning Corpus (ARC) challenge. Join us as we experiment with abstract puzzles and turn them into gold with cutting-edge machine learning techniques.
The Abstraction and Reasoning Corpus (ARC) is a challenging dataset introduced by François Chollet. It consists of a collection of tasks designed to assess a system's ability to reason and generalize abstract patterns. These tasks involve transforming grid-based input into expected output based on a set of examples, requiring a blend of logic, abstraction, and creativity.
More on the ARC challenge: Kaggle ARC Challenge
Our goal is to design and implement innovative solutions for solving ARC tasks by:
- Exploring various AI/ML approaches for abstract reasoning.
- Designing creative algorithms that can understand and generate patterns.
- Applying computer vision techniques to solve grid-based puzzles.
We will update this section as we make progress in our project, showcasing our findings, techniques, and results on the ARC tasks.