Nemo Evaluator Sdk

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by orchestra-research · vlatest · Repository

The Nemo Evaluator SDK allows developers to rapidly assess and compare model performance across diverse datasets, streamlining AI development workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add orchestra-research-nemo-evaluator-sdk npx -- -y @trustedskills/orchestra-research-nemo-evaluator-sdk
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "orchestra-research-nemo-evaluator-sdk": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/orchestra-research-nemo-evaluator-sdk"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The orchestra-research-nemo-evaluator-sdk skill provides tools for evaluating and analyzing AI models, specifically within the NVIDIA Nemo framework. It allows users to run evaluation pipelines, generate reports on model performance, and compare different model configurations. This SDK streamlines the process of assessing and improving AI model quality.

When to use it

  • Model Performance Benchmarking: Compare the accuracy and efficiency of different language models for a specific task.
  • Regression Testing: Ensure that changes to an existing model don't negatively impact its performance on established benchmarks.
  • Automated Evaluation Pipelines: Integrate evaluation steps into your AI development workflow, automatically generating reports after each training run.
  • Research and Development: Experiment with new model architectures or training techniques and quickly assess their effectiveness.

Key capabilities

  • Nemo framework integration
  • Evaluation pipeline execution
  • Performance report generation
  • Model comparison functionality

Example prompts

  • "Run the standard evaluation pipeline for this language model."
  • "Generate a performance report comparing Model A and Model B on the speech recognition task."
  • "Evaluate this new model against the baseline configuration."

Tips & gotchas

This skill requires familiarity with the NVIDIA Nemo framework. Ensure that you have the necessary dependencies installed before attempting to use it.

Tags

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Details

Version
vlatest
License
Author
orchestra-research
Installs
27

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Passed automated security scans.