Abstraction and Reasoning Corpus (ARC) Challenge

The Abstraction and Reasoning Corpus (ARC) Challenge on Kaggle is an exciting and complex AI competition that tests the limits of artificial intelligence in pattern recognition and problem-solving. This page will be updated regularly with my progress, insights, and learnings as I work on this challenge.

What is the ARC Challenge?

The ARC Challenge, created by François Chollet, is designed to measure general intelligence in AI systems. It consists of a set of tasks that require abstract reasoning and the ability to infer rules from limited examples. Each task presents a set of input-output pairs, and the AI must deduce the underlying pattern to solve new, unseen examples.

My Approach

As I work on this challenge, I’ll be documenting my approach, including:

  1. Data Analysis: Initial exploration of the ARC dataset and task structures.
  2. Algorithm Development: The various algorithms and techniques I’m experimenting with.
  3. Model Architecture: Details on the AI models I’m building and testing.
  4. Results and Iterations: My progress, including successes, failures, and learnings.

Current Progress

[This section will be updated as I make progress on the challenge]

Insights and Learnings

[I’ll share key insights and learnings here as I work through the challenge]

Resources

Stay tuned for updates as I delve deeper into this fascinating challenge!