{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "shanghua-gao-rsi-jev--check-failed-experiments-before-training",
 "repo": "Shanghua-Gao/RSI-Jev",
 "repo_url": "https://github.com/Shanghua-Gao/RSI-Jev",
 "repo_slug": "shanghua-gao-rsi-jev",
 "title": "Check failed experiments before planning a training run",
 "page_title": "How to check failed experiments before planning a training run with RSI Jev",
 "summary": "Read the published failed experiments to avoid repeating dead ends.",
 "who": "A researcher or ML engineer planning a fine-tune or a training change for a decision model.",
 "problem": "Repeating a training idea that already failed wastes GPU time and delays a result.",
 "outcome": "A short list of past experiments on your topic, with the reason each one failed as the repo records it.",
 "steps": [
  "Open EXPLORE.md in the repo to see all 496 experiments and why each failed",
  "Open docs/history.md for the experiments that made a release",
  "Open docs/rl.md for the reinforcement-learning arms",
  "Open the release records in versions/ for the numbers behind a specific release"
 ],
 "agent_prompt": "In the Shanghua-Gao/RSI-Jev repo, read EXPLORE.md, docs/history.md and docs/rl.md and list every experiment that relates to <topic>. For each one, return the result and the failure reason as written in the repo. Verify that each item cites the file where it appears.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "15 minutes",
 "basis": "readme",
 "caveat": "The 27B score of 65.64 is on the public set and its official score is still pending, so compare it with other results only with that caveat in mind.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "html",
 "requirements": [
  "Python with pip and git installed",
  "A GPU with enough memory for the chosen model, or an Apple silicon Mac for the MLX builds",
  "A 96 GB GPU if you want to serve the 27B model"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.6,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/shanghua-gao-rsi-jev/check-failed-experiments-before-training/",
 "md": "https://dedupedai.com/use-cases/shanghua-gao-rsi-jev/check-failed-experiments-before-training/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/shanghua-gao-rsi-jev--check-failed-experiments-before-training.json",
 "api_version": "v1"
}