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5 Steps for Fine-tuning Embeddings -
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Classroom Contents
Fine-Tuning Text Embeddings for Domain-specific Search with Python
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- 1 Intro -
- 2 RAG -
- 3 Problem with Vector Search -
- 4 Fine-tuning -
- 5 Why fine-tune? -
- 6 5 Steps for Fine-tuning Embeddings -
- 7 Example: Fine-tuning Embeddings on AI Jobs -
- 8 Step 1: Gather Positive and Negative Pairs -
- 9 Step 2: Pick a Pre-trained Model -
- 10 Step 3: Pick a Loss Function -
- 11 Step 4: Fine-tune the Model -
- 12 Step 5: Evaluate the Model -
- 13 What's Next? -
