Chain-of-Thought Prompting - Step-by-Step Reasoning for LLMs
Chain-of-thought prompting techniques that improve LLM performance on reasoning tasks by encouraging explicit intermediate steps.
Reasoning
Inference-Time Compute
The practice of allocating additional computation during model inference to improve reasoning quality, including chain-of-thought, search, …
Inference-Time Scaling - Optimizing Reasoning at Inference Rather Than Training
How inference-time compute scaling enables AI models to improve performance by thinking longer on hard problems, shifting optimization from …
ReAct Pattern - Reasoning and Acting in AI Agents
The ReAct pattern interleaves chain-of-thought reasoning with tool actions, enabling AI agents to think before they act and adjust based on …