How We Leveraged Vllm To Power Our Genai Applications

LinkedIn's Hiring Assistant can evaluate hundreds or thousands of candidates for one job, generating explanations of how each candidate meets the requirements. That creates many model requests with shared opening text. In its engineering account, LinkedIn explains how vLLM, software for serving language models, reuses computation for those shared portions and batches requests during generation. These mechanisms reduce repeated processing and help the service handle the large number of evaluations behind a single recruiting task.