Create GPT fine-tuning dataset

This text serves two purposes:
  • Acts as the system prompt for your GPT model behavior
  • Will be used (after sanitization) as the output filename
Type or paste your training data directly in the format shown below
Upload a .txt file containing your question-answer pairs for training

Training data format guide

Format requirements:

  • Structure your data as question-answer pairs
  • Each user prompt must end with a question mark (?)
  • assistant responses should be clear and consistent
  • Separate pairs with empty lines for clarity

Example training format:

What is machine learning?
A machine learning model learns patterns from data to make predictions or decisions without explicit programming.

How does GPT process text?
GPT processes text using transformer architecture, analyzing patterns in the input to generate contextually relevant responses.

What are the benefits of fine-tuning?
Fine-tuning allows you to customize the model's behavior for specific tasks while maintaining its general knowledge base.
Download example training data