weights-and-biases

name	weights-and-biases
description	Machine learning experiment tracking and model management. Use when this capability is needed.
metadata	{"author":"DTMC-marketplace"}

Weights & Biases

Category: Performance EU AI Act Reference: Art. 12, Art. 15 Source: 3rd-party (W&B)

When to Use This Skill

Use this skill when:

• Weights & Biases tasks - Working on machine learning experiment tracking and model management
• Compliance assessment - Evaluating AI systems against Art. 12, Art. 15 requirements
• Risk mitigation - Implementing controls for performance risks

Overview

Machine learning experiment tracking and model management. Log metrics, visualize results, manage datasets, and collaborate on ML projects.

Key Requirements

Regulatory Context (Art. 12, Art. 15)

This tool supports compliance with the following EU AI Act requirements:

1. Assessment - Evaluate current state against Art. 12, Art. 15 requirements
2. Implementation - Deploy appropriate controls and measures
3. Documentation - Record findings, decisions, and evidence
4. Monitoring - Establish ongoing monitoring and review processes

Assessment Checklist

• Identify applicable Art. 12, Art. 15 requirements
• Assess current compliance status
• Document gaps and findings
• Develop remediation plan
• Implement required controls
• Verify effectiveness of measures
• Maintain ongoing documentation

Integration Notes

Source Type: 3rd-party (W&B) Category: Performance

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Source: DTMC-marketplace/governance — distributed by TomeVault.