Enhanced prompts for Jupyter notebook analysis

• Day: 2023-12-20
• Time: 00:00 to 00:20
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Jupyter Notebooks, Prompt Enhancement, Openai Api, Data Analysis, Billing

Description

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_tokens parameter 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.

Evidence

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• event_ids: []