edsl

Introduction

Overview
Whitepaper
Citation
Papers

Getting Started

Starter Tutorial
Installation
API Keys
Colab Setup
Credits

Core Concepts

Questions
Scenarios
Surveys
Agents
Prompts
Language Models

Working with Results

Results
Caching LLM Calls
Exceptions & Debugging
Token usage
Survey logic checklist

Coop

Coop
Notebooks
Colab Notebooks
Remote Inference
Remote Caching
File Store

How-to Guides

Intro to EDSL
Estimating costs
Analyzing a transcript
Updating agent traits
Save & load objects
Data labeling
Data cleaning
Simulate a feedback survey
Using PDFs in a survey
Using images in a survey
Using Wikipedia tables in a survey
Using data with surveys: FileStore
Adding metadata to survey results
Creating question variants
Skip logic & scenarios
Agent dynamic traits
Importing agents
Batching results
Cognitive testing & creating new methods

Notebooks

Calculating next token probabilities
Analyzing customer service calls
Analyzing course evaluations
Concept induction
Simulate a qualitative interview
Launch an interview
NPS survey in EDSL
Data labeling agents
Using EDSL to sense check data
Simulating randomness
Testing model training data
Comparing model responses
Evaluating job posts
Cognitive testing & LLM biases
Exploring real world survey contexts
Exploring free text responses
Creating a digital twin
Stylized content
Google Form -> EDSL
Using EDSL for AI polling
Working with CES data in EDSL

Developers

Contributing
Jobs
Interviews
Answers
Enums

edsl

Whitepaper

Whitepaper

Coming soon!

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