📅 2023-12-20 — Session: Enhanced prompts for Jupyter notebook analysis
🕒 00:00–00:20
🏷️ Labels: Jupyter Notebooks, Prompt Enhancement, Openai Api, Data Analysis, Billing
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance and refine prompts for technical analysis of Jupyter notebooks, focusing on improving clarity, thematic organization, and evaluation techniques.
Key Activities
- Developed a structured prompt template for enhancing technical analysis of Jupyter notebooks, including clarity, examples, evaluations, comparisons, and code analysis.
- Created a prompt for restructuring Jupyter notebooks by theme and difficulty, providing specific tasks for thematic categorization and difficulty leveling.
- Provided insights on adjusting the
max_tokensparameter in the OpenAI API for optimal response length. - Outlined steps for checking OpenAI account balance and spending, enhancing understanding of billing and usage.
- Designed a prompt for organizing Jupyter notebooks by data pipeline stages and thematic areas, suggesting methods for creating an organized collection.
Achievements
- Successfully developed and refined multiple prompt templates for Jupyter notebook analysis and organization.
- Gained a better understanding of managing OpenAI API parameters and account billing.
Pending Tasks
- Implement the developed prompts in actual Jupyter notebook projects to evaluate their effectiveness and make necessary adjustments.