MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Human generalization of LLMs

Teaching Models to Express Their Uncertainty in Words

This repository hosts the paper “LLM Based Math Tutoring: Challenges and Dataset”, along with the accompanying dataset. It explores the performance and challenges of Large Language Models (LLMs) in…

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Code for "Question Generation for Adaptive Education", to appear at ACL 2021.

A large-scale knowledge repository for adaptive learning, learning analytics, and knowledge discovery in MOOCs, hosted by THU KEG.

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

All things prompt engineering

Preregistration template for predictive modeling. A quick starter kit for new ML projects. Fork this repo to get started.

Backend (Node.js, redis), frontend (js), and analysis (R) for web-based visualization studies.

An R package to simulate colorblindness on R figures.

A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Automatic Generation of Visualizations and Infographics using Large Language Models

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

public mise ( http://en.wikipedia.org/wiki/Mise_en_place )

🦜🔗 Build context-aware reasoning applications

Source code for Twitter's Recommendation Algorithm

The release of the Twitter algorithm, annotated for recsys

Python library for LEGO® PoweredUp devices

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Solving the causality pairs challenge (does A cause B) with ChatGPT