Texti.ai
  • Overview
  • Task
    • Text Classification
    • Text Generation
    • AI Co-Pilot
  • Data & Labeling
    • Text Classification
    • Text Generation
    • AI Co-Pilot
  • Fine-tuning
    • Model Selection
    • Hyperparameters
    • Model Fine-tuning
    • Model Evaluation
  • In-Context Learning
    • Model Selection
    • Hyperparameters
    • Evaluation
  • AI Agent
    • Real-Time Feedback-to-Action AI Agent
  • Extras
  • How to Get an OpenAI API Key & Organization ID
  • Automatic Dataset Balancing For Classification Tasks
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Data & Labeling

PreviousAI Co-PilotNextText Classification

Last updated 1 year ago

To fine-tune, you will need to provide it with relevant training data. This training data should be in a specific format that includes both a "prompt" and a "completion".

Texti.ai makes it easy to prepare and upload your data. Connectors for uploading your prompt and completion dataset include: CSV, Google Sheets, PostgreSQL, and MS SQL Server.

Once your data is uploaded, you can edit or add labels to your dataset directly on our user interface, depending on the task that you have chosen. Here's a breakdown of prompt and completion formats for different task categories:

Text Classification
Text Generation