Agenda

• Future Plans

• Current Position of Projects

• Process

• Previous Attempts and Growth

• Start

• Main Project Goals and Initial Thoughts

Start

• Quote: “The journey of a thousand miles begins with one step” - Lao Tsu

Project Goals

• Objective: Crafting searches and queries depending on the platform.

• Goals:

  • Professor's interest in understanding what kind of information is used to build different AI models (e.g., Google Books, Open AI, other models) and how that influences their outputs/performance.

  • Final Expectation: Develop a robust workflow for testing AI models, repeatable by students in future classes to continue the research.

  • Class Assignment: Students of Chinese history conduct directed search queries in library databases, search engines, and generative AI tools/platforms, comparing results and understanding strategies for crafting searches and queries depending on the platform and the corpora making up selected databases or training selected LLMs.

Tools

• Platforms Used:

  • Library Database (e.g., BruKnow)

  • Search Engines (e.g., Google Search)

  • Generative AI (e.g., ChatGPT)

Initial Thought

• Focus: “Robust workflow for testing AI models”

• Question: Assignments?

Process

• Quote: “The biggest room in the world is the room for improvement.” – Helmut Schmidt

Learning Outcomes

• Library Database: Understanding strategies for crafting searches and queries depending on the platform.

• Search Engine: Understanding strategies for crafting searches and queries depending on the platform.

• Generative AI: Understanding strategies for crafting searches and queries depending on the platform.

• Objective: Students compare query results and venture explanations for differences.

Research on Generative AI

• Collaborators:

  • Chinese History Knowledge from Prof. Rebecca

  • Technical Knowledge in ChatGPT from me

• Research: Initial comparison of ChatGPT answers to Google Search and Databases.

Critical AI Discussion

• Discussion Leaders: Niamh McGuigan and Emily Ferrier

• Topics:

  • Hands-on exploration of Generative AI

  • Generative AI discussions in class

  • Ethics in Generative AI

Tools

• Platforms:

  • BruKnow

  • Google Search

  • Claude AI

  • Bard

  • ChatGPT

Website Idea

(No detailed content provided in the slides)

Learning Outcomes

• Crafting Searches and Queries: Understanding strategies depending on the platform.

• Comparison: Being able to compare query results and venture explanations for differences.

Present

• Quote: “Be happy in the moment that’s enough. Each moment is all we need not more.” — Mother Teresa

Research on Comparison

• Types of Questions:

  • Factual Question (e.g., Who is XXX?)

  • Reading Suggestions (e.g., What should I read to understand XXX?)

  • Discussion of Topics/Ethical Questions (e.g., Explain the controversy about XXX)

Guidelines for Generative AI

(No detailed content provided in the slides)

Search Queries Guidelines

• Content: Aggregating sources for the search queries guide.

Resources in Generative AI

(No detailed content provided in the slides)

Future

• Quote: “The biggest room in the world is the room for improvement.” – Helmut Schmidt

Future Research for Generative AI

• Focus Areas:

  • Dive deeper into each topic: Factual Questions, Reading Suggestions, and Discussion of Topics/Ethical Questions.

  • Develop the website idea as a verification tool instead of just tools.

Guidelines for Assignment

• Tasks:

  • Finish contents in the documents (including instructions to register and how to use them).

  • Develop the interactive portion of the search queries.