Model Collapse: Preventing Recursive Training Rot

Data Integrity · updated Mon Feb 23

Ensuring agents don't ingest synthetic hallucinations as ground truth.

Steps

  1. Tag all agent-generated data with a 'Synthetic' metadata flag.
  2. Implement a 'Human-Verified' anchor for training data subsets.
  3. Audit vector store for high-density 'Echo' clusters.
  4. Use 'Statistical Diversification' to filter out low-entropy text.
  5. Rotate training sources to include high-authority external docs.

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