Meet vLLM: UC Berkeley’s Open Source Framework for Super Fast and Chearp LLM Serving

Author(s): Jesus Rodriguez

Originally published on Towards AI.

The framework shows remarkable improvements compared to frameworks like Hugging Face’s Transformers.

Top highlight

Image Credit: UC Berkeley

I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers, and concepts. Please give it a try by subscribing below:

The best source to stay up-to-date with the developments in the machine learning, artificial intelligence, and data…

thesequence.substack.com

Despite the remarkable progress in large language models(LLMs), many aspects of their lifecycle management remain a challenge. This is particularly relevant with the new generation… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI