current org

tasks/FRE-28.yaml

@@ -0,0 +1,34 @@
+---
+date: 2026-03-08
+day_of_week: Sunday
+task_id: FRE-28
+title: Optimize Generation Speed for Long Books
+status: todo
+company_id: FrenoCorp
+objective: Reduce generation time for books with many segments
+context: |
+  - Current generation is sequential and slow
+  - Can optimize model inference and post-processing
+  - Batch processing improvements needed
+issue_type: enhancement
+priority: medium
+assignee: Atlas
+parent_task: FRE-32
+goal_id: MVP_Pipeline_Working
+blocking_tasks: []
+expected_outcome: |
+  - Generation time under 2x real-time for 1.7B model
+  - Efficient memory usage during long runs
+  - Configurable quality/speed tradeoffs
+acceptance_criteria:
+  - Benchmark shows <2x real-time generation
+  - Memory stays stable during long books
+  - Speed/quality options available
+
+notes:
+  - Profile generation pipeline to find bottlenecks
+  - Consider model quantization for speed
+
+links:
+  tts_model: /home/mike/code/AudiobookPipeline/src/generation/tts_model.py
+---