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LLM. HOW TO MEASURE THE QUALITY OF YOUR DATA

How it works

Clean through your LLM data for: FOCUS. (number of subjects discussed), DISCIPLINE. (message volume per conversation), and CONSISTENCY. (even distribution of topics). Your score reflects the creativity and range of your AI collaborations.

Analyze conversations:

50 of 1259 conversations analyzed

Topic Diversity

8.4

Engagement Depth

30.0

Discussion Breadth

24.2

Data Behind Your Score

Sample of 50 analyzed conversations

Assistance with MDX File Web Copy and Formatting

7/30/2024

I need some help with some web copy and formatting for a mdx file for my site- are you equipped to help me with this task?

34 msg • 60,960 chars•

webcodeaihelpdesign

Updating Tailwind Config to Include Forms Plugin

7/31/2024

is this too much code for you to work with?

24 msg • 54,406 chars•

csscodereactai

Assistance with App Development Code

7/31/2024

I am working on app and have some code files that I want you to refer to to help with specific questions related to the project. How could you assist me

2 msg • 2,033 chars•

questioncodeapphelp

SWOT Analysis of Connect.tsx React Component

7/31/2024

Provide a SWOT analysis of my Connect.tsx component

34 msg • 62,640 chars•

codeappaireact

Refactoring Image Styling Function

7/31/2024

Are you able to detect how the images are being cut off?

26 msg • 54,771 chars•

reactaipython