Artificial Intelligence (AI) has undergone groundbreaking advancements in recent years. A significant game changer has been the emergence of large language models, capable of transforming countless sectors, from technology to healthcare.
However, running such substantial models on personal devices has remained a challenge due to resource constraints. This article delves into a revolutionary solution that addresses this problem: Petals, a novel, decentralized method that allows running and fine-tuning large language models on any device.
Petals: decentralized inference and finetuning of large language models
Large language models are among the most significant recent advances in machine learning. Still, leveraging these models
