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castorini/rank_llm

SkillsMP has collected 4 skills from castorini/rank_llm. Open a skill to review its source and details.

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skills collected
4
GitHub stars
654
GitHub forks
99

Skills in this repository

2 occupation categories · 100% classified

Showing 4 of 4 collected skills.

occupation
Network & Computer Systems Administrators
description

Set up a rank_llm development environment. Use when someone is onboarding, setting up a fresh clone, choosing extras such as cloud, api, local, or pyserini, or troubleshooting whether the packaged rank-llm CLI is ready.

updated
occupation
Software Developers
description

Use when working with the rank-llm CLI: rerank, evaluate, analyze, retrieve-cache, serve, validate, prompt, view, describe, schema, or doctor. Covers entry points, common flags, JSONL and TREC artifacts, and end-to-end retrieval plus reranking workflows.

updated
occupation
Software Developers
description

Use when analyzing rank_llm evaluation outputs across runs or models. Covers aggregated trec_eval JSONL files, response-analysis metrics, retrieval-cache handoff files, and side-by-side comparison of stored evaluation artifacts.

updated
occupation
Software Developers
description

Use when validating rank_llm artifacts after rerank, retrieve-cache, or related CLI workflows. Checks JSONL integrity, TREC formatting, candidate shape, invocation-history structure, and duplicate query identifiers. Wraps rank-llm view plus custom assertions.

updated
Showing 4 of 4 collected skills.