LLM Classification Finetuning

Who this competition fits

Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.

What this competition gives you

Taken from the competition's official page.

• DataChatBot Arena preference dataset: 55K training rows and roughly 25K test rows.
• TutorialKaggle Lingo explainer video.

From registration to a first submission

1. 01

   Python

2. 02

   scikit-learn or similar ML library

3. 03

   data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.