EDSL: AI-Powered Research

Expected Parrot Domain-Specific Language (EDSL) is an open-source Python package for conducting AI-powered research.

EDSL is developed by Expected Parrot and available under the MIT License.

Links

  Download the latest version of EDSL at PyPI.

  Get the latest EDSL updates at GitHub.

  Join our Discord channel to connect with other users and ask questions.

This page provides documentation, tutorials and demo notebooks for the EDSL package. The contents are organized into several key sections to help you get started using it:

Introduction

Overview: An overview of the purpose, concepts and goals of the EDSL package.
Whitepaper: A whitepaper about the EDSL package.
Citation: Instructions on how to cite the package in your work.

Getting Started

Starter Tutorial: A tutorial to help you get started using the package.
Installation: Instructions for installing the EDSL package.
API Keys: Instructions for obtaining and storing API keys for language models.

Core Concepts

Questions: Learn about the different types of questions and their applications.
Scenarios: Explore how questions can be dynamically parameterized for tasks like data labeling.
Surveys: Discover how to construct surveys and implement survey rules and conditions.
Agents: Understand the design and implementation of AI agents that respond to surveys.
Language Models: Examine the selection and application of language models for generating results.
Results: Investigate methods for analyzing and utilizing survey results.

How-to Guides

Examples of special methods and use cases, such as data labeling tasks, cognitive testing, dynamic agent traits and creating new methods.

Notebooks

A variety of templates and examples for using the package to conduct different kinds of research. We’re happy to create a new notebook for your use case!

Developers

Information about additional functionality for developers.