ARC Prize: A Guide to DSL, LLM-Guided & Test-time Training Approaches

📜Open source repo access at https://github.com/TrelisResearch/minimal-arc 💡 Apply for OR sponsor the Trelis ARC AGI Team: https://trelis.com/arc-agi-2/ 📧 Get Trelis AI Tutorials by Email Subscribe on Substack: https://trelis.substack.com Video Links: - ARC Prize Task: https://arcprize.org/play?task=e3721c99 - 2024 ARC Winners on MLST: https://www.youtube.com/watch?v=mTX_sAq--zY - Greenblatt approach: https://redwoodresearch.substack.com/p/getting-50-sota-on-arc-agi-with-gpt TIMESTAMPS: 0:00 What is ARC AGI? 1:00 Solving ARC Manually 3:59 Broad approaches to solving ARC AGI 8:04 Simple DSL Approach (Domain Specific Language) 12:33 Simple LLM Guided Program Approach 16:04 Simple Neural Net Approach (with beam and depth-first search) 28:24 Overview of ARC training and evaluation data and preparation 33:44 Detailed DSL Approach (Domain Specific Language) 48:47 LLM Guided Search (in detail) 1:09:00 Test time training approach, with depth-first search 2:00:00 Apply for the Trelis ARC AGI 2 team