📅 2023-12-20 — Session: Enhanced Jupyter Notebook Analysis and Organization
🕒 00:00–00:20
🏷️ Labels: Jupyter Notebooks, Prompt Enhancement, Data Analysis, Openai Api
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance prompts for technical analysis of Jupyter notebooks and provide structured guidance for their organization by theme, difficulty, and data pipeline stages.
Key Activities
- Developed modifications to prompts for obtaining detailed technical responses when analyzing Jupyter notebooks, focusing on clarity, examples, and code analysis.
- Created a structured prompt for reorganizing Jupyter notebooks by theme and difficulty, including thematic categorization and difficulty leveling.
- Provided guidance on adjusting the
max_tokensparameter in the OpenAI API to optimize response length. - Outlined steps to check OpenAI account balance and spending through the dashboard.
- Designed a prompt for organizing Jupyter notebooks by data pipeline stages and thematic areas, suggesting methods for creating an organized collection.
Achievements
- Successfully enhanced prompts for technical analysis of Jupyter notebooks.
- Developed comprehensive guides for notebook organization by theme, difficulty, and data pipeline.
- Clarified the use of
max_tokensin the OpenAI API. - Provided clear instructions for managing OpenAI account billing and usage.
Pending Tasks
- Implement the developed prompts in real-world Jupyter notebook analysis and organization tasks to evaluate their effectiveness.