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AI/ML Infrastructure & Engineering Leadership

Observability for LLMs: Traces, Evals, and Quality SLOs

You cannot fix what you cannot see. Logging tokens is not observability. Learn how to build real observability for LLM systems using traces, evals, and quality SLOs. This guide covers tracing every step, adding quality evaluations, defining SLOs, and closing the loop with automated routing and scaling.

📊 OpenTelemetry traces ✅ Quality evals 🎯 SLO frameworks
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How to Cut LLM Inference Costs by 40-60%

Learn four proven strategies to dramatically reduce large language model inference costs without sacrificing quality. From request batching to model quantization, discover how to save $60K+ monthly on GPU infrastructure.

💰 40-60% cost reduction ⚡ 2-4x throughput improvement 🧠 4 optimization strategies
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