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1. Technical Model Card

1. Purpose

This template is intended for developers and auditors. It documents the technical specifications, training data and performance of the model and travels from Development to Management & Optimisation.

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Model Name: [E.g. Customer-Service-Bot-v2] Type: [E.g. LLM (GPT-4o) with RAG]

Purpose & Limitations

  • Primary Use: [What is this model intended for?]
  • Out of Scope: [What must this model NOT be used for?]
  • Collaboration Mode: [E.g. Mode 3: Collaborative]

Technical Specifications

  • Base Model (Foundation): [E.g. Azure OpenAI GPT-4]
  • Parameters: [E.g. Temperature: 0.7, TopP: 0.9]
  • Knowledge Coupling (RAG):
  • Source: [E.g. SharePoint folder 'Knowledge Management']
  • Update frequency: [Weekly / Real-time]

Training & Data

  • Only complete if fine-tuning or own training is involved.
  • Training data: [Dataset description]
  • Period: [Data from YYYY to YYYY]
  • Data Evaluation: [Reference to quality report]

Performance & Validation

Results extracted from the Validation Report (Phase 3).

  • Metrics:
  • Accuracy: [X%]
  • Hallucination rate: [\< X%]
  • Test set: [Description of the questions or scenarios used]

Ethical Considerations

  • Known Limitations: [E.g. "Model struggles with jargon in language X".]
  • Bias Mitigation: [What steps have been taken to reduce bias?]

Management & Maintenance

  • Owner (Tech): [Name Tech Lead]
  • Owner (Business): [Name Product Owner]
  • Performance Degradation Monitoring: [Which tool measures the Performance Degradation?]

Version Control

  • v1.0: Initial Release (Name Developer)
  • v1.1: Prompt update after feedback (Name Developer)