NLP & Language · intermediate · concept 87 of 176
Reasoning Models & Test-Time Compute
LLMs trained to produce a long internal chain of reasoning before answering, spending extra compute at inference time to get better answers on math, code, and logic. OpenAI's o-series and DeepSeek-R1 established this as a second scaling axis alongside model size. Most frontier assistants now offer a thinking mode built on this idea.
Key terms
Test-time computeThinking tokensRLVRVerifiable rewardsLong CoT
Learn these first
Where you meet it in the real world
Competition math, code debugging, scientific analysis, agentic planning
Videos
▶ Why AI Models Pause to Think: Test Time Compute Explained ↗
IBM Technology · YouTube
▶ Test-Time Compute Explained: Benchmarking and Optimizing AI Agents ↗
NVIDIA Developer · YouTube
Guides and articles
Courses, papers, and more