Reasoning
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Reasoning Models
Language models post-trained to allocate substantial inference-time compute to internal reasoning before …Chain-of-Thought (CoT) Prompting
Eliciting intermediate reasoning steps from language models to improve performance on multi-step problems, …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 …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 …Inference-Time Compute
The practice of allocating additional computation during model inference to improve reasoning quality, …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 …
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