Unverified90% confidenceFactTime unknown
QwQ-32B采用两阶段强化学习训练策略:第一阶段在数学和编程任务上进行强化学习,第二阶段扩展到通用领域
1
Sources
90%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLLaVA的训练分为两个阶段:第一阶段是预训练对齐(冻结视觉编码器和语言模型,仅训练投影层),第二阶段是指令微调(解冻语言模型进行端到端训练)68% similarUnverifiedComposer 2 adopts a two-phase advancement strategy: mid-training followed by large-scale reinforcement learning.68% similarUnverifiedThe Ziyue large model made extensive use of educational corpora such as textbooks, exercises, and problem-solving processes during the pre-training and fine-tuning stages, giving it stronger professionalism on educational tasks.68% similarUnverifiedThe training of Qwen3.7 Max adopted an environment-driven tool training method, which is a specific application form of reinforcement learning in large model training67% similarUnverifiedThe tutorial adopts a four-stage progressive learning path, from core modules to practical closed-loop implementation.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/23196API
curl https://kongchang.com/api/v1/knowledge/claims/23196MCP
get_claim(id=23196)