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llm-evaluation

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Automated and human evaluation for LLMs.

Data & Analytics#metrics#evaluation#llm-judge#human-evaluation
Author48Nauts-Operator
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.

Core Features & Use Cases

  • Automated metrics (BLEU, ROUGE, METEOR, BERTScore, Perplexity)
  • Human evaluation dimensions (Accuracy, Coherence, Relevance, Fluency, Safety)
  • LLM-as-judge patterns (single output, pairwise)

Quick Start

Create an evaluation suite with BLEU, ROUGE, and human ratings for a QA dataset.

Dependency Matrix

Required Modules

None required

Components

assetsreferencesscripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: llm-evaluation
Download link: https://github.com/48Nauts-Operator/opencode-baseline/archive/main.zip#llm-evaluation

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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