Hassan

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나는 Jev를 사용하여 1,018개의 AI 연구 논문을 분류했습니다. 결과: 총 비용은 0.08달러이고 논문당 종단 간 대기 시간 중앙값은 256ms입니다. 파이프라인은 다음과 같습니다. 1. DeepSeek V4 Flash로 각 논문을 요약합니다. 2. 제목 +...

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I used Jev to classify 1,018 AI research papers. The result: $0.08 total cost and 256ms median end-to-end latency per paper. The pipeline was: 1. Summarize each paper with DeepSeek V4 Flash 2. Send the title + summary + 24 possible topics to Jev 3. Use Jev to classify each paper 4. Visualize everything on https://t.co/hs63SlHxjw The summaries cost $3.99 on @togethercompute. The classifications cost $0.08 on @typesafeai. So for just over $4 of inference, I ended up with a pretty useful way to explore the top AI research papers from the past year. I think this is where things are heading: different models for different parts of the workflow, instead of using one model for everything. I’m running evals on the Jev classifications before replacing the current ones, but the site is already live: https://t.co/hs63SlHxjw