使用vLLM和Ray Serve运行Phi 3
原文英文，约3900词，阅读约需15分钟。发表于：。While everyone is talking about new models and their possible use cases, their deployment aspect often gets overlooked. The journey from a trained model to a production-ready service is a complex...
模型从训练到生产服务的过程复杂且重要。开发者通常通过REST API与数据库交互，但在处理实时流量时，模型服务面临挑战。推理是模型生成预测的过程，而服务则是将模型提供为服务。使用vLLM和Ray Serve可以有效部署大型语言模型，KubeRay则帮助在Kubernetes上管理这些服务。
