源码聚合搜索 - 壹搜网为您找到"
从零理解 LLM 与 Agent
"相关结果 180条"All-in-one" agent image for the Jenkins Infra. - https://github.com/jenkins-infra/packer-images
hub.docker.comBundles the AppD Machine Agent with an extension to dynamically instrument Java processes.
hub.docker.comOnboarding agent that welcomes new users, understands their use-cases
hub.docker.comSpecialist in architecture, deployment, and management across aws, gcp, and azure
hub.docker.comThis repo is deprecated.
hub.docker.comThis repository holds agent type definition files and their signatures for use by Agent Control.
hub.docker.comMonitoring a Kubernetes cluster involves deploying and utilizing the Wazuh agent
hub.docker.com引言 众所周知,大语言模型(LLM)正在飞速发展,各行业都有了自己的大模型。其中,大模型微调技术在此过程中起到了非常关键的作用,它提升了模型的生成效率和适应性,使其能够在多样化的应用场景中发挥更大的价值。 那么,今天这篇文章就带大家深入了解大模型微调。其中主要包括什么是大模型微调、什么时候需要大模型
blog.csdn.net