📅 2025-01-29 — Session: Developed Advanced Academic Productivity Workflows
🕒 00:20–02:50
🏷️ Labels: Academic Productivity, Ai Workflows, Machine Learning, N8N Automation, Deepseek-V3
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance academic productivity through the development and integration of advanced workflows using AI and automation tools.
Key Activities
- Pre-Queries for Academic Productivity Workflow: Designed a structured plan for implementing pre-queries in paper drafting workflows to improve AI-generated content.
- Integrating Query Routing: Developed strategies for query routing in academic workflows, employing metadata and semantic methods.
- DeepSeek-V3 Language Model Overview: Analyzed the architecture and performance of the DeepSeek-V3 language model.
- Machine Learning Course Design: Outlined comprehensive course structures and challenges for machine learning education.
- n8n Workflow Development: Created workflows for academic paper summarization, PDF ingestion, and automation using n8n.
Achievements
- Completed the design of pre-query and query routing strategies for academic workflows.
- Developed a detailed understanding of the DeepSeek-V3 model.
- Established a structured curriculum for machine learning courses.
- Implemented n8n workflows for academic paper summarization and PDF ingestion.
Pending Tasks
- Further testing and refinement of the n8n workflows for academic productivity.
- Integration of interactive elements and feedback mechanisms in course designs.