ARC-AGI 1
ARC-AGI 1, short for Abstraction and Reasoning Corpus for Artificial General Intelligence, version 1
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ARC-AGI 1, short for Abstraction and Reasoning Corpus for Artificial General Intelligence, version 1
Agent planning refers to the process by which an AI agent determines a sequence of actions to accomplish a goal.
Commonsense reasoning is the ability to make the everyday, mostly tacit assumptions that ordinary humans take for granted, the implicit knowledge about how the physical world behaves, how minds work, how time…
Inference-time scaling (also called test-time compute scaling) is the practice of improving an AI model's output quality by allocating more computational resources during inference rather than during training.
MathArena is a public, continuously updated leaderboard and evaluation platform that measures the performance of large language models on mathematics competition problems released after each model's training…
The OpenAI o-series is a family of large language models developed by OpenAI that are trained with reinforcement learning to reason through an internal chain-of-thought before answering, making them OpenAI's…
SimpleBench is a text-only benchmark for large language models created by Philip, the host of the AI Explained YouTube channel, with collaborator Hemang.
Test-time compute (also called inference-time compute scaling or test-time scaling) is the practice of allocating additional computation while a large language model answers a query
Tree of Thoughts (ToT) is a prompting and inference-time search framework for large language models that lets the model explore multiple intermediate reasoning steps as nodes in a tree, evaluate each…