Expired90% confidenceFactTime unknown
85% of the compute resources in Composer 2.5's training were invested in additional continued pre-training and reinforcement learning post-training.
1
Sources
90%
Confidence
Medium-term (~90 days)
Relevance
5/31/2026
First Seen
Valid until: 8/29/2026(expired)
Sources
Related Entities
Related Claims
UnverifiedComposer 2 adopts a two-phase advancement strategy: mid-training followed by large-scale reinforcement learning.78% similarUnverifiedCursor invested 85% of the total compute into additional training and reinforcement learning on top of Kimi K2.5.74% similarUnverifiedMixed-precision training can typically increase training speed by 1.5–2 times and reduce VRAM usage by nearly half.68% similarUnverified前沿模型训练对算力的需求每年增长约 4-5 倍66% similar
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