Managing Reasoning Levels in Large Language Models

The article explains how reasoning models like DeepSeek-R1 and GPT-5.6 learn to produce reasoning traces via reinforcement learning with verifiable rewards (RLVR). It details the training process, inference scaling, think tokens, and how reasoning effort modes (low/medium/high) are implemented through supervised fine-tuning and tokenizer switches.

OpenAI DeepSeek Moonshot AI

Chinese Open-Source AI Models Set New Records for Number of Parameters

Chinese developers are releasing increasingly large open-source artificial intelligence models, reaching new heights in the number of parameters. This intensifies competition in the global AI market and stimulates technological development.

Moonshot AI