Verified65% confidenceFactExact time
Through Agent Tuning specialized training, small-parameter models such as 3B and 7B can also acquire strong Agent capabilities.
3
Sources
65%
Confidence
Long-term
Relevance
9/9/2026
First Seen
Sources
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Related Claims
UnverifiedModels trained with reinforcement learning (RL) outperform models trained solely with SFT on Agent tasks.75% similarVerifiedThrough higher-quality training data, more optimized training strategies, and more refined post-training alignment, smaller-scale models can fully surpass larger-scale but lower-quality-trained models on practical tasks.73% similarUnverifiedExamining the model's action sequences during training one by one can determine whether high scores result from genuine capability improvement or from exploiting loopholes in the reward mechanism.72% similarUnverifiedAgent Tuning is a specialized direction of supervised fine-tuning (SFT), where training samples are complete task trajectories rather than traditional question-answer pairs.72% similar
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