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More AI System Designs
- Design a Conversational AIBuild a production conversational AI system (think ChatGPT) step by step. See how the request path splits an inference gateway from the model servers, how the context window is assembled and token-budgeted, how conversation memory is stored and recalled, how tokens stream back over a persistent connection, and how guardrails gate every prompt and response — through an interactive diagram that grows with each concept.Read →
- Design an AI Agent SystemBuild an autonomous AI agent step by step. See how the plan-act-observe loop turns a goal into action, how the model emits typed tool calls, how a sandboxed executor runs them safely, how working and long-term memory fit together, and how budgets and approval gates keep a multi-step agent from running away — through an interactive diagram that grows with each concept.Read →
- Design an LLM Inference ServerBuild an LLM inference serving system step by step. See how a request queue absorbs spiky traffic, how the prefill/decode split and continuous batching keep GPUs full, how the KV cache and paged attention make each token cheap, how tensor sharding fits a giant model, and how autoscaling rides demand — all balancing latency against throughput, through an interactive diagram that grows with each concept.Read →
- Design a Recommendation SystemBuild a large-scale recommendation system step by step. See how a two-stage retrieve-and-rank funnel picks the best few from millions, how two-tower embeddings and ANN generate candidates fast, how a heavy ranking model scores engagement, how a feature store stays consistent between training and serving, and how the feedback loop keeps recommendations fresh — through an interactive diagram that grows with each concept.Read →