Organizes AI Research Papers
Elvis used Jev to organize ~2.3K AI research papers. The process cost $0.14 and took about 83 seconds.
elvis@omarsar0๐
Found a great production use case for Jev. I used Jev to organize ~2.3K AI research papers. The total cost was $0.14, and it took about 83 seconds. The process: The papers already had old tags, which I ran through a previous open model (DeepSeek V4 Flash). However, I wasn't confident in the classifications, and I didn't want to spend more on tokens unless I spent time tuning it into a good LLM cla
The papers already had old tags, which he ran through DeepSeek V4 Flash. He was not confident in those classifications and did not want to spend more on tokens without tuning the model.
Also filed under Research & data
- Visualizes French Wikipedia Elites
The project is a data visualization of French elites on Wikipedia. Its crawl is ongoing, with new biographies arriving.
- GraphRAG with Swappable Laya and Jev Models
This project is an agentic GraphRAG pipeline with swappable local Laya or cloud Jev decision models.
- Jev Probability Calibration Experiments
The repository presents reproducible experiments on Jev probability calibration, uncertainty, and forecast preservation.
- Benchmarks Jev for Malicious Skill Detection
jev-skillbench benchmarks Jev as a malicious agent-skill detector on MalSkillBench with verify-and-escalate evaluation.