Optimized AI Teaching Material and Query Engine

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Optimized AI Teaching Material and Query Engine

  • Day: 2025-08-16
  • Time: 18:30 to 20:30
  • Project: Teaching
  • Workspace: WP 1: Strategic / Growth & Development
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Ai Teaching, Query Engine, Curriculum Design, Python, Education

Description

Session Goal

The session aimed to enhance the development and optimization of AI teaching materials and query engines, focusing on both educational content and technical retrieval systems.

Key Activities

  • Set up OpenAI API key in a Jupyter Notebook to ensure compatibility with LlamaIndex and OpenAI SDK.
  • Developed a framework for evaluating educational responses, including a taxonomy and scoring rubric.
  • Designed a JSON schema for annotating QA responses to aid book assembly.
  • Created structured prompts for retriever analysis focusing on book scope and exercises.
  • Refined a CS101 curriculum blueprint emphasizing dynamic programming and algorithm analysis.
  • Outlined a strategy for transforming raw content into AI teaching materials.
  • Provided guidelines for topic modeling with bilingual corpora, focusing on clustering and multilingual considerations.
  • Developed a Python function to create a query engine with multilingual support.
  • Enhanced query engine design for LLMs with hierarchical parsing and token limits.
  • Planned integration for a query engine and node management system.
  • Introduced a script for generating daily FAQs from notes stored in an SQLite database.

Achievements

  • Successfully set up and tested the OpenAI API key integration in Jupyter.
  • Completed an educational response evaluation framework.
  • Finalized a CS101 curriculum blueprint.
  • Developed a comprehensive integration plan for query engines and node management.
  • Created a daily FAQ generator script for streamlined content management.

Pending Tasks

  • Further testing and refinement of the query engine integration plan.
  • Additional validation of the educational response framework in real-world scenarios.

Evidence

  • source_file=2025-08-16.sessions.jsonl, line_number=1, event_count=0, session_id=85ebcfd0759198ce8777d8ec97028aed9b84386cbfad1147d94fb5b228d9efb3
  • event_ids: []

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