System Design of ChatGPT | Mock interview @gkcs

Learning system design is not a one time task. It requires regular effort and consistent curiosity to build large scale systems. Moreover, every system has different requirements and meeting them requires expertise and people with varied and specific knowledge. There are a lot of resources to learn through videos. But not everyone enjoys that mode of learning. Instead some people understand things better by reading and thinking on the points put forward by the author. Such people can access these in different ways - blogs, articles and books. We have come up with this video to put light on one such aspect, that is - Intro to Kafka. ------------------------------------------------------------------ Recommendations ------------------------------------------------------------------ Our full courses on youtube: ✒ System Design Primer Course:    • System Design Primer Course   ✒ REST APIs made easy:   • REST APIs MADE EASY   Some paid courses that we recommend: ✒Interviewready.io: https://get.interviewready.io/ (Use coupon code SUDOCODE for extra discount) ------------------------------------------------------------------ About Us ------------------------------------------------------------------ Created and Instructed by: Yogita Sharma ✒ LinkedIn -   / yogita-sharma-83400b55   ✒ Instagram -   / sudo.code1   ✒ Facebook -   / sudo.code   ✒ Medium -   / yogita088   Post-production(editing, thumbnail etc) managed by: Ciki Studios ✒ Website: www.cikistudios.com ✒ LinkedIn:   / 74735937   Colors and design by: Naini Todi ✒ LinkedIn -   / nainitodi   Both Arpit and Yogita are software engineers and want to help other software engineers become better by providing high quality and well researched content by adding their creativity and teaching twist. ------------------------------------------------------------------ Join Us ------------------------------------------------------------------ Hangout with sudoCode: ✒Discord Server:   / discord   For business: ✒Email: [email protected] ----------------------------------------------------------------------------------------------------------------------------- Timestamps: 00:00 Requirement Breakdown 05:41 High Level Design 07:52 Vector Database 11:25 Request Flow 17:19 Caching Optimizations 20:13 Text Generation 23:26 Summary 25:31 Thank you!