Performance Optimization User Stories
Notes on Performance Optimization User Stories 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
- Skim the file index below for the questions this folder helps answer.
- Cross-reference notes on related topics from the home page.
Files in this folder
| File | Title |
|---|---|
| PO-01-llm-response-latency-optimization.md | PO-01: LLM Response Latency Optimization |
| PO-02-intent-classifier-latency-optimization.md | PO-02: Intent Classifier Latency Optimization |
| PO-03-rag-pipeline-retrieval-performance.md | PO-03: RAG Pipeline Retrieval Performance |
| PO-04-dynamodb-memory-read-performance.md | PO-04: DynamoDB Conversation Memory Read Performance |
| PO-05-caching-layer-performance.md | PO-05: Caching Layer Performance |
| PO-06-websocket-streaming-performance.md | PO-06: WebSocket Streaming Performance |
| PO-07-orchestrator-concurrency-throughput.md | PO-07: Orchestrator Concurrency and Throughput |
| PO-08-end-to-end-latency-optimization.md | PO-08: End-to-End Latency Optimization |
| README.md | Performance Optimization User Stories - MangaAssist Chatbot |
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