Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
This PR adds a new section in the docs describing how to leverage a solution like TGI or vLLM to serve an LLM that can be reused across several tasks in the same pipeline using an AsyncLLM client.
Description
This PR adds a new section in the docs describing how to leverage a solution like TGI or vLLM to serve an LLM that can be reused across several tasks in the same pipeline using an
AsyncLLM
client.