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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  • Initialize a Demo Project
  • Next Steps
  1. Getting Started

Quickstart

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Last updated 9 months ago

Initialize a Demo Project

On the projects page, you can create a new project from scratch with the + button or choose a demo dataset from the list of options:

When you choose a demo dataset, the project will import the sample data and populate relevant fields and examples. This is an easy way to explore the features that Entry Point AI has to offer without needing to bring any custom data.

Next Steps

Demo projects are meant to showcase the diverse types of projects you can build with Entry Point. They are suitable for exploration and even provide

Next, you may want to connect at least one , explore background information about other key concepts like or , or jump straight into our guide on

model provider
templates
fields
how to evaluate a prompt.
enough data to fine-tune a model.