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83ce92624e
This commit refactors the underlying Python calculation cells for Chapters 1-16
to strictly enforce mathematical consistency with the narrative.
**Key Text/Numeric Updates (For Editorial Review):**
1. **Chapter 3 (Workflow) - Edge Necessity Scenario:**
- *Change:* Increased clinic patient count from **100** to **150**.
- *Reason:* With 100 patients, the calculated upload time was ~5.5 hours, which fits within the 8-hour clinic day, contradicting the chapter's conclusion that 'Edge is Mandatory.' Increasing to 150 pushes upload time to >8 hours, mathematically validating the narrative.
2. **Chapter 1 (Introduction) - Model Drift Scenario:**
- *Change:* Reduced monthly accuracy drift rate from **8.0%** to **0.8%**.
- *Reason:* An 8% monthly drop is a catastrophic failure that would be immediately noticed. A 0.8% drop correctly models the 'silent failure' (boiling frog) scenario described in the text.
3. **Chapter 3 (Workflow) - Velocity vs Quality:**
- *Change:* Reduced 'Large Model' accuracy gain per iteration from **0.5%** to **0.15%**.
- *Reason:* The original rate caused the large model to hit 99% accuracy almost instantly, invalidating the 'Velocity is a Feature' argument. The new rate correctly models diminishing returns, allowing the faster (small) model to win.
4. **Chapter 15 (Responsible Engineering) - TCO Analysis:**
- *Verification:* Verified and stabilized the 3-year Total Cost of Ownership (TCO) calculations. Confirmed that Inference TCO (.5M) dominates Training TCO (8K) by ~40x, supporting the 'Efficiency as Responsibility' thesis.
**Technical Changes (Code Only):**
- Refactored all calculation cells to use the **P.I.C.O. (Parameters, Invariants, Calculation, Outputs)** design pattern.
- Added assertion guards (Invariants) to prevent future regressions where math contradicts prose.
- Fixed variable scope issues in Chapter 10 (Model Compression) and Chapter 15.
- Disabled false-positive linter warnings for standard LaTeX spacing.
47 lines
280 B
Plaintext
47 lines
280 B
Plaintext
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