Entry Point AI Docs
  • Getting Started
    • Introduction
    • Quickstart
  • Key Concepts
    • Model Providers
    • Templates
    • Fields
    • Examples
    • Models
    • Evaluation
    • Transforms
  • Guides
    • Evaluate a Prompt
      • Turn a Prompt into a Template
      • Prepare Validation Examples
      • Create a Templated Model
      • Review & Rate Outputs
      • Iterating on the Prompt
    • Build a Dataset
      • Import a CSV
      • Transform Data
      • Synthesize Examples
      • Quantity & Quality of Data
    • Fine-tune a Model
      • Start a Fine-tune
      • Fine-tuning Hyperparameters
      • Compare Fine-tunes
      • Next Steps
    • Generate Completions
      • Playground
      • Inference Parameters
      • Shareable Link
      • Deploy a Model
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  1. Guides

Fine-tune a Model

Fine-tuning trains a model to be a specialist at your specific task. The result is a new model with updated weights based on your training examples. Typically, fine-tuning a model yields better results than prompting alone.

Entry Point AI makes it easy to test different combinations of models, templates, and hyperparameters to see what works best.

PreviousQuantity & Quality of DataNextStart a Fine-tune

Last updated 8 months ago