Learn how to run 70 billion parameter language models efficiently on local machines with minimal GPU requirements.

A comprehensive look at the self-attention mechanism that powers transformers and its significance in machine learning.

Discover the emerging trend of graph-based representations in AI applications and how LangGraph by LangChain fits into this landscape.

This article explores the idea that AI models may be converging towards a unified representation of reality, as posited by the Platonic Representation Hypothesis.