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2,300 AI papers in 83 seconds
AI-assisted summaries and translations. Check original sources for context and performance claims.
This case study demonstrates using Jev to classify 2,300 AI papers in approximately 83 seconds. The author notes that the reported $0.14 cost reflects a full processing pipeline rather than Jev alone, as previous labeling involved other models.
Translated summary · AI-assisted; check the original.
Source notes
This is a linked resource, not an independent verification of performance, cost or results. Check the original for current details.
- Collected
- 2026-09-27
- Discovered via
- github.com
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