Stars
This is a repository for sharing papers in the field of persona-based conversational AI. The related source code for each paper is linked if available.
Repository for reproducible data-driven persona research.
DialogLab is an authoring tool for configuring and running Human-AI multi-party conversations.
A Complete Guide on Digital Marketing Including 546 Individual Skills & 4368 AI Prompts.
A Model Context Protocol (MCP) server that empowers LLMs to use some of Open Srategy Partners' core writing and product marketing techniques.
Translational workforce roles and persona profiles
Understanding Human–AI Workflows for Generating Personas
AgentSociety 2 is a modern, LLM-native agent simulation platform designed for social science research and experimental design. It provides a flexible framework for creating and managing intelligent…
Generative Agents: Interactive Simulacra of Human Behavior
The dataset and source code for paper, titling A Simple Guideline to Create Predictive Personas for Target Marketing
Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"
😸 💬 A module to compute textual lexical richness (aka lexical diversity).
The Synthetic-Persona-Chat dataset is a synthetically generated persona-based dialogue dataset. It extends the original Persona-Chat dataset.
Example Notebook for Synthetic User Research with Persona Prompting and Autonomous Agents
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
A deep learning system for demographic inference (gender, age, and individual/person) that was trained on massive Twitter dataset using profile images, screen names, names, and biographies
Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors
FLoC analysis: privacy for sensitive groups
Here I'll publish all of my personal projects that relate to Data Science in Marketing
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Resource, Evaluation and Detection Papers for ChatGPT