[PR #1021] [MERGED] Expands introduction quiz and clarifies skew #1068

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GiteaMirror · 2026-03-22T15:59:30-05:00

GiteaMirror commented

2026-03-22 15:59:30 -05:00

📋 Pull Request Information

Original PR: https://github.com/harvard-edge/cs249r_book/pull/1021
Author: @profvjreddi
Created: 11/2/2025
Status: ✅ Merged
Merged: 11/2/2025
Merged by: @profvjreddi

Base: dev ← Head: 1018-silent-performance-degradation-self-check-question-before-concept-is-introduced

📝 Commits (2)

b4599b0 fix(quizzes): move silent performance degradation question to correct section
ab477f3 docs(introduction): improve training-serving skew explanation and expand quiz coverage

📊 Changes

2 files changed (+54 additions, -11 deletions)

View changed files

📝 quarto/contents/core/introduction/introduction.qmd (+1 -1)
📝 quarto/contents/core/introduction/introduction_quizzes.json (+53 -10)

📄 Description

Improves the explanation of training-serving skew and expands the quiz coverage for the introduction section.

Clarifies that training-serving skew is an infrastructure issue manifesting as an algorithmic failure.
Expands the introduction quiz with new questions to assess understanding of failure modes and monitoring requirements in ML systems.

Note

Expands introduction quizzes with a new section on ML failure modes/monitoring, updates quiz metadata, and clarifies training-serving skew as an infrastructure issue in the text.

Quizzes:

New section coverage: Adds quiz for #sec-introduction-ml-systems-differ-traditional-software-4370 focusing on failure modes, silent degradation, and monitoring.

Metadata update: Bumps total_sections and sections_with_quizzes from 10→11 in introduction_quizzes.json.

Rationale/structure tweaks: Refines rationale for Defining ML Systems (narrows focus to component interdependencies) and removes a question on silent degradation from that section.

Content:

Clarifies in introduction.qmd that training-serving skew is an infrastructure issue manifesting as algorithmic failure (minor sentence edit).

^{Written by Cursor Bugbot for commit ab477f319b. This will update automatically on new commits. Configure here.}

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/harvard-edge/cs249r_book/pull/1021 **Author:** [@profvjreddi](https://github.com/profvjreddi) **Created:** 11/2/2025 **Status:** ✅ Merged **Merged:** 11/2/2025 **Merged by:** [@profvjreddi](https://github.com/profvjreddi) **Base:** `dev` ← **Head:** `1018-silent-performance-degradation-self-check-question-before-concept-is-introduced` --- ### 📝 Commits (2) - [`b4599b0`](https://github.com/harvard-edge/cs249r_book/commit/b4599b04ac4e2c924c5dec79a4194c51499b3730) fix(quizzes): move silent performance degradation question to correct section - [`ab477f3`](https://github.com/harvard-edge/cs249r_book/commit/ab477f319b9acb4a24b3a806943cb1774f912d7f) docs(introduction): improve training-serving skew explanation and expand quiz coverage ### 📊 Changes **2 files changed** (+54 additions, -11 deletions) <details> <summary>View changed files</summary> 📝 `quarto/contents/core/introduction/introduction.qmd` (+1 -1) 📝 `quarto/contents/core/introduction/introduction_quizzes.json` (+53 -10) </details> ### 📄 Description Improves the explanation of training-serving skew and expands the quiz coverage for the introduction section. - Clarifies that training-serving skew is an infrastructure issue manifesting as an algorithmic failure. - Expands the introduction quiz with new questions to assess understanding of failure modes and monitoring requirements in ML systems.  --- > [!NOTE] > Expands introduction quizzes with a new section on ML failure modes/monitoring, updates quiz metadata, and clarifies training-serving skew as an infrastructure issue in the text. > > - **Quizzes**: > - **New section coverage**: Adds quiz for `#sec-introduction-ml-systems-differ-traditional-software-4370` focusing on failure modes, silent degradation, and monitoring. > - **Metadata update**: Bumps `total_sections` and `sections_with_quizzes` from 10→11 in `introduction_quizzes.json`. > - **Rationale/structure tweaks**: Refines rationale for `Defining ML Systems` (narrows focus to component interdependencies) and removes a question on silent degradation from that section. > - **Content**: > - Clarifies in `introduction.qmd` that training-serving skew is an infrastructure issue manifesting as algorithmic failure (minor sentence edit). > > <sup>Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit ab477f319b9acb4a24b3a806943cb1774f912d7f. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).</sup>  --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-03-22 15:59:30 -05:00

GiteaMirror closed this issue

2026-03-22 15:59:30 -05:00

GiteaMirror referenced this issue

2026-03-22 16:00:36 -05:00

[PR #1068] [MERGED] Repository Restructuring: Prepare for TinyTorch Integration #1104

GiteaMirror referenced this issue

2026-04-11 08:24:11 -05:00

[PR #1068] [MERGED] Repository Restructuring: Prepare for TinyTorch Integration #2327

GiteaMirror referenced this issue

2026-04-13 13:21:20 -05:00

[PR #1068] [MERGED] Repository Restructuring: Prepare for TinyTorch Integration #3049