Unverified50% confidenceFactExact time
In GAS-PFN's evaluation comparisons, all models receive 90 minutes of continuous recent history, while additional context is extracted from each dataset's chronologically split training set.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/28/2026
First Seen
Valid until: 1/26/2027
Sources
Related Entities
Related Claims
VerifiedFine-tuning requires hundreds to thousands of high-quality training samples, hours of GPU compute time, and ongoing maintenance costs, and the entire process must be repeated whenever knowledge is updated.66% similarUnverifiedFine-tuned models are based on existing open-source base models and use small domain-specific datasets, with training time typically ranging from hours to days.65% similar
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