▸ Tag · #llm
Posts tagged #llm.
4 posts with this tag.
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AI7 mistakes you're making with your production RAG stack (and how to fix them)
Naive chunking, no reranker, embedding drift, latency blowups, vibe-checking — the seven structural mistakes that turn a slick RAG demo into a production nightmare, and the fixes that actually ship.
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ArchitectureScaling on demand: smart auto-scaling for modern AI apps
CPU autoscaling is a lie for GPU workloads. Why queue depth, KV-cache pressure, and TTFT beat CPU as scaling triggers — KEDA-driven patterns, ARIMA forecasting, and composite metrics that scale your AI SaaS before users hit the spinner.
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ArchitectureGPU-aware load balancing: managing AI compute like a pro
Round-robin is a relic when LLM requests span 50 tokens to 50,000. Prefill vs decode disaggregation, KV-cache-aware routing, prefix matching, and the four metrics that matter — how to route AI traffic so your P99 stops bleeding.
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ArchitectureRate limiting: protecting your AI wallet
One runaway agent loop = $5,000 OpenAI bill. Why request-per-second limits lie for LLM apps, how to architect hierarchical token-bucket limits across global / tenant / user layers, and adaptive throttling patterns that protect margins without breaking UX.
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