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3,528 documents
|Notes|Assessment (Total : 87 )|Evidence|
| Notes | Self Assessment (Total: 88) | evidence |
This document defines the metrics used to evaluate the performance of different language models in generating Python game scripts. The metrics focus on three key areas: Accuracy, Bug Frequency, and Feature Completeness.
|<div style="width:256px">Notes</div>|Assessment|Evidence|
The emphasis of the course is on learning and mastering the skills covered. The grade for the course will be divided into 3 components:
> **Core Principle:** Focus on whether the student has demonstrated mastery of the
RE-Bench evaluates reverse engineering LLMs across seven orthogonal axes:
- [ ] Are there at least 2 analogies or heuristics?
**Team Name:** [Byte Peeps]
- **16-20 points**: Deep integration, NEAR standards usage, wallet integration, on-chain innovation
Scores are 0–10. Higher = better alignment with best practices. The advisor produces five framework scores plus AWS pillar breakdown.
**Excellent (11-12 points)**
> This document defines what "done" means for every part of Liscribe v2.
|Notes| Score | Evidence |
**DUE:** 2022-12-08T15:00 (End of Exam Period)
**Team Name:** [Team Name]
> **Audience**: Claude Code, LLMs, e Lucas.
|<div style="width:256px">Notes</div>|Assessment|Evidence|
Build a PDF Search System with Mistral OCR and Weaviate DB
keywords: [recursivecharactertextsplitter]
Splitters are pipeline components that divide large text content into smaller, manageable chunks. They help optimize content for processing, storage, and retrieval in AI applications by creating appropriately sized segments while preserving context and meaning.
id: 1rujyxrb9vcc5vpxg0s0o8c
Once the data is loaded, the next step in the indexing pipeline is splitting the
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