Unverified50% confidenceBenchmarkExact time
Experimental results show that RAFT reduces training input by 35.23% on average, and by up to 97.11%.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/20/2026
First Seen
Valid until: 1/18/2027
Sources
Related Entities
Related Claims
UnverifiedUnder held-out interface perturbations, the accuracy of the post-trained Agent drops by nearly 25%.74% similarUnverifiedDuring the course's training process, the loss value decreases from approximately 3.36 to around 0.3273% similarUnverifiedLoRA可以将可训练参数量减少99%以上71% similarUnverifiedAfter TGIT training, the success rate for weak instruction input increased from 15.27% to 37.93%, surpassing the original exhaustive command rate of 31.03%.70% similarUnverifiedLoRA reports on GPT-3 175B: compared with full fine-tuning using Adam, trainable parameters are reduced by about 10,000 times, and GPU memory during training is reduced by about 3 times.70% similar
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