Reasoning Models

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Adaptive thinking

Adaptive thinking is an inference-time reasoning mode in the Anthropic Messages API in which a claude model decides, on a per-request basis, whether to use extended thinking at all and how much of it to spend

AI Inference Anthropic

GRPO

Group Relative Policy Optimization (GRPO) is a reinforcement learning algorithm for fine-tuning large language models that eliminates the separate critic (value) network used by PPO

AI Inference Chinese AI

Inference-time scaling

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.

AI Inference AI Research

RLVR

Reinforcement Learning with Verifiable Rewards (RLVR) is a post-training paradigm for large language models in which the reward signal comes from a deterministic

AI Inference Reinforcement Learning