Learning Paths Showcase Leaderboard

Learn AI by building real projects. From beginner to expert, one challenge at a time.

Platform

Challenges
Learning Paths
Showcase

Community

GitHub
Projects

Legal

Privacy
Terms

© 2026 AI In Action. All rights reserved.

Fine-Tuning Pipeline | AI In Action

ChallengesFine-Tuning Pipeline

OfficialAdvancedAI Agents & Automation

10-15 hours

Fine-Tuning Pipeline

Build a UI for the complete model fine-tuning workflow: dataset preparation with labeling, training configuration, job monitoring, and evaluation with test prompts.

0 likes0 forks0 comments

trainingfine-tuningdatasetevaluation

Objectives

Upload and format training datasets (JSONL)
Validate and preview training examples
Configure fine-tuning parameters
Monitor training progress with loss charts
Evaluate the fine-tuned model with test prompts

Hints

Use OpenAI fine-tuning API for the backend
JSONL format with {prompt, completion} pairs
Compare base vs. fine-tuned model outputs

Resources

platform.openai.com/docs/guides/fine-tuning

Comments (0)

to leave a comment.

No comments yet. Be the first to comment!