Optimizing RAG Systems and Fine-Tuning Models

Improving retrieval-augmented generation and fine-tuning models from development to production, from the AI-300 outline.

MSAZ-263 12 lessons planned ▶ Video lessons coming soon

Offered by HSM University · Microsoft Certification Prep

Course content

  1. 1Diagnosing a weak RAG systemComing
  2. 2Chunk size and overlapComing
  3. 3Similarity thresholds and retrieval strategiesComing
  4. 4Choosing embedding modelsComing
  5. 5Hybrid search and rerankingComing
  6. 6A/B testing RAG changesComing
  7. 7When to fine-tuneComing
  8. 8Fine-tuning methodsComing
  9. 9Synthetic data for fine-tuningComing
  10. 10Evaluating fine-tuned modelsComing
  11. 11Serving and managing fine-tuned modelsComing
  12. 12An optimization case studyComing

Requirements

Recommended background. You can start any course at any time.

Description

Improving retrieval-augmented generation and fine-tuning models from development to production, from the AI-300 outline.