Research
- AI
X-R1: Open-Source Reasoning Model Exploration
The revelation that language models could develop sophisticated reasoning capabilities through reinforcement learning -- without human demonstrations...
- Open Source
STORM: Stanford's AI Research Paper Writing Engine
Most AI writing tools generate articles based on whatever knowledge they learned during training. STORM, developed by Stanford's OVAL lab, takes a...
- AI
GNN-RAG: Graph Neural Network Enhanced Retrieval-Augmented Generation
Retrieval-Augmented Generation has become the standard approach for grounding LLM responses in factual knowledge. But standard RAG has a well-known...
- AI
DPO: Direct Preference Optimization for LLM Alignment Without RL
For most of the history of large language model alignment, the dominant paradigm has been Reinforcement Learning from Human Feedback (RLHF) -- a...
- Open Source
Awesome Public Datasets: The Definitive Collection of Open Data for AI and Research
Every data scientist has faced the same frustration: spending hours searching for a reliable dataset, only to find broken links, outdated...
- AI
AutoDidact: Self-Teaching Framework for LLM Improvement
The most expensive part of improving AI models has always been data: collecting, cleaning, and annotating millions of examples requires enormous...