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39 documents available
Use this checklist when writing or reviewing decodable readers. The phonics constraints are hard enough—don't let the story suffer too.
1. **Curiosity Gap (0–2)**
This rubric defines a **standardised metric** for evaluating how well a software repository implements core **kernel** and **operating‑system (OS)** primitives. It is based on the function manifest and status report from the Echo.Kern project and draws on general operating‑system principles ([Wikipedia: Kernel](https://en.wikipedia.org/wiki/Kernel_(operating_system)#:~:text=operating%20system%20%20that%20always,for%20the%20central%20processing%20unit)). The goal is to provide a repeatable method
module_title: Data Science and Machine Learning
The goal of a Qualifying Exam ("qual") is for a student to *effectively demonstrate that they have the knowledge and skills that will be needed to conduct meaningful research in their chosen subfield*. There are a number of key phrases in this sentence:
In week four we've learned about a few different classifiers. In week five we learned about webscraping, APIs, and Natural Language Processing (NLP). This project will put those skills to the test.
**Team Name:** [Byte Peeps]
**Team Name:** BC Hub
This document defines the scoring criteria for evaluating Reddit post/rumour virality potential. Each attribute is scored from **0.0 (no presence)** to **1.0 (very strong)**. These scores are used by the LLM to grade injected rumours before simulation.
**AI for Social Good Hackathon – SUST 2026**
|Notes| Score | Evidence |
- [ ] Are there at least 2 analogies or heuristics?
**Team Name:** [Byte Peeps]
Scores are 0–10. Higher = better alignment with best practices. The advisor produces five framework scores plus AWS pillar breakdown.
RE-Bench evaluates reverse engineering LLMs across seven orthogonal axes:
> **Audience**: Claude Code, LLMs, e Lucas.
|<div style="width:256px">Notes</div>|Assessment|Evidence|
|Notes|Assessment (Total : 87 )|Evidence|
| Notes | Self Assessment (Total: 88) | evidence |
|Score|Notes| Evidence|Self-Assessment|
Repository link: https://github.com/agupta15k/ncsu_se_fall22_22_pr_2
title: Evaluation Rubric for LLM Outputs
**Team Name:** [Byte-Peeps]
> **Core Principle:** Focus on whether the student has demonstrated mastery of the
