Boost Your LLMs with Clusters

In the video titled “Using Clusters to Boost LLMs” by Alex Ziskind, the host tests the EXO cluster workflow that allows running the Llama 3.1 405 billion parameter model on multiple laptops. The video showcases the ease of setting up the model and highlights its performance in various tasks, including coding and image reasoning. Ziskind emphasizes the importance of efficient resource management when working with large models and explores the potential of clustering to enhance AI capabilities. The video concludes with a discussion on the practical applications of such models and their accessibility for users without high-end hardware.