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Design ChatGPT - System Design Mock Interview (with eBay EM)
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An eBay engineering manager, builds ChatGPT during a system design mock interview. He identifies the requirements and constraints for building a robust chatbot system that can handle millions of users and transactions.
Chapters (Powered by ChapterMe) -
00:00 - Design ChatGPT with Functional Requirements
00:53 - ChatGPT operation feedback for good functional requirements
01:24 - Nonfunctional requirements for chat architecture
03:26 - Server receives 200 million messages per day
03:53 - Server, storage, scalability requirements
04:51 - High level design with consistent user experience
07:14 - Machine learning model for obscenity detection
08:24 - API ChatGPT model, database, messages
10:14 - Rough design for messaging simplicity
11:14 - Multiple ways to ask thumbs down
11:51 - Sending model to GPT for training, avoiding malicious users
13:32 - Operations and APIs in conversation service
14:09 - Create, view, delete, send messages
15:33 - Retrieval of messages in conversations
16:17 - Sending and receiving messages in Messenger
17:08 - Grid-based messages with ID generators
20:29 - Multimessage conversation model with parent
22:09 - GPT model with variety of questions and answers
22:55 - System design uses and examples
27:34 - Databased AI training with questions and answers
29:05 - Reinforcement learning in system design training
33:14 - Reward model continuously trains
33:42 - GBT building overview, final thoughts
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