Retrieval Fine Tuning
Notes on Retrieval Fine Tuning for ML platform / Applied AI interview preparation. The file index below shows what's in scope; click through to the individual notes for the depth.
Interview talking points
- This is a sub-topic under Embedding-and-Retrieval. See the parent for the broader interview framing.
Files in this folder
| File | Title |
|---|---|
| 03-cross-encoder-reranker-fine-tuning.md | 03. Cross-Encoder Reranker Fine-Tuning — ms-marco-MiniLM for MangaAssist |
| 03-cross_encoder_reranker_scenarios_mangaassist.md | Cross-Encoder Reranker Scenarios - MangaAssist |
| 14-raft_scenarios_mangaassist.md | RAFT Scenarios - MangaAssist |
| 14-retrieval-augmented-fine-tuning-raft.md | 14. Retrieval-Augmented Fine-Tuning (RAFT) — Teaching the LLM to Use Retrieved Context |
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