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🧠 Make your agents learn from experience. Based on the Agentic Context Engineering (ACE) framework.
🤗 smolagents: a barebones library for agents that think in code.
How to use boost, CGAL, and ideas for solving the Algolab lecture exercises
Virtual whiteboard for sketching hand-drawn like diagrams
Exercises from the Fall 2023 Algolab course at ETH Zürich
We propose a complexity framework to analyze Theory of Mind tasks. Inspired by this theory, we propose a prompting method that elicits stateful reasoning of LLMs.
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
The best way to write secure and reliable applications. Write nothing; deploy nowhere.
A fast, clean, responsive Hugo theme.
Obsidian plugin which integrates your academic reference manager with the Obsidian editor. Search your references from within Obsidian and automatically create and reference literature notes for pa…
Machine Theory of Mind Reading List. Built upon EMNLP Findings 2023 Paper: Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models
A collection of services with great free tiers for developers on a budget. Sponsored by Mockoon, the best mock API tool. https://mockoon.com
Simple app that tracks time.
In the evolving world of Large Language Models (LLMs), crafting effective prompts has become an essential skill. That's why I've created this collection, showcasing the most impactful prompts of th…
Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
👻 Code and benchmark for our EMNLP 2023 paper - "FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions"
Un libro open source dalla community per la community.
Collection of Summer 2026 tech internships!
Add Google Calendar inside Obsidian
Universal LLM Deployment Engine with ML Compilation
Esercizi di preparazione alla prova pratica dell'esame di sistemi operativi
shapez is an open source base building game on Steam inspired by factorio!
All notes and materials for the CS229: Machine Learning course by Stanford University
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.