📅 2025-02-08 — Session: Developed AI Framework for Text Comprehension
🕒 22:35–23:20
🏷️ Labels: AI, Text Analysis, Schema Design, Reading Comprehension
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to design a framework for AI systems to mimic expert-level comprehension of book texts, focusing on surface-level understanding and text analysis.
Key Activities
- Cognitive Processing of Book Texts: Explored human cognitive processes for analyzing book texts and proposed a framework for AI design.
- Mastering Surface-Level Understanding: Developed a structured approach for achieving surface-level understanding of academic texts.
- AI Schema for Text Analysis: Created a structured approach for AI to perform surface-level reading, including prompts for identifying main topics and key concepts.
- Structured Prompts for AI Text Analysis: Designed system and user prompts to guide AI in structured reading and key element extraction.
- Options for Passage Type Detection: Discussed strategies for detecting passage types based on depth and content focus.
- Schema for Book Excerpts: Developed a JSON schema for extracting structured information from book excerpts.
Achievements
- Completed the design of a comprehensive framework and schema for AI text comprehension and surface-level analysis.