https://www.chenshaowen.com/en/tags/tech-stack/Recent content in Tech Stack on Shaowen Chen's WebsiteHugo -- gohugo.ioen©2016 - {year}, All Rights Reserved.Sun, 12 Jan 2025 00:00:00 +0000weeklyhttps://www.chenshaowen.com/en/blog/ai-application-development-tech-stack.htmlSun, 12 Jan 2025 00:00:00 +0000Sun, 12 Jan 2025 00:00:00 +0000https://www.chenshaowen.com/en/blog/ai-application-development-tech-stack.htmlEmbedding Models Embedding models map high-dimensional data into a lower-dimensional space, which makes the data easier to process and analyze. Text Models Here is a leaderboard, https://huggingface.co/spaces/mteb/leaderboard The leaderboard above gives each model’s score, parameter count, memory usage, vector dimension, maximum tokens, and other information. Below are some commonly used open-source models:微信公众号AIApplication DevelopmentTech StackLLMR&DLearningRAGEmbeddingBest Practiceshttps://www.chenshaowen.com/en/blog/jenkins-x-is-not-jenkins-but-stack.htmlSun, 16 Aug 2020 00:00:00 +0000Sun, 16 Aug 2020 00:00:00 +0000https://www.chenshaowen.com/en/blog/jenkins-x-is-not-jenkins-but-stack.html1. Introduction to Jenkins X Relying on its massive plugin ecosystem, Jenkins currently holds most of the enterprise CICD engine market share. But in the cloud native era, Jenkins has also exposed many problems: a single point of service, disk storage, memory usage, and so on. Around Kubernetes, Jenkins X offers a DevOps approach better suited to the cloud native era.微信公众号Tech StackJenkinsJenkins-XKubernetesDevOpsCICDOperations