Unverified50% confidenceFactExact time
As a post-training framework, IVT can be applied to any pretrained model that already possesses basic multimodal capabilities.
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50%
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Long-term
Relevance
9/5/2026
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VerifiedLarge model training goes through three core stages: pre-training, supervised fine-tuning (SFT), and preference alignment.78% similarUnverifiedThe actual effectiveness of IVT depends on training data quality, the design of the visual thinking objective, and the controllability of the degree of internalization.76% similarUnverified一个典型的对话AI模型训练需经历四个阶段：预训练、有监督微调（SFT）、奖励模型训练和近端策略优化（PPO）70% similarUnverifiedTraining hundred-billion-parameter models such as GPT-3 requires scheduling strategies such as learning rate warmup and cosine annealing, as well as engineering techniques such as mixed-precision training and gradient accumulation.70% similarPartially VerifiedA pre-trained model refers to a model that has been trained in advance on large-scale datasets, which users can directly fine-tune or call to complete specific tasks.69% similar
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