Large-Scale Generative AI Chatbot System
Design a high-scale conversational AI system similar to ChatGPT. The system must support millions of concurrent users, provide sub-second initial responses (TTFT), and maintain high factual accuracy despite a static knowledge cutoff. Detail the end-to-end lifecycle including data cleaning of multi-terabyte crawls, model alignment using preference learning (RLHF/DPO), retrieval-augmented generation (RAG) for real-time grounding, and serving optimizations like KV-caching and continuous batching to handle high QPS on distributed GPU clusters.
TransformersDPOSFTRAGvLLMPagedAttentionBPEFlashAttentionSpeculative DecodingGQALSHFSDP
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