LLMOps & Reliability
Keeping LLM applications accurate, fast and affordable after launch: evaluation pipelines, caching, limits and observability.
LLMOps
Evaluation, Caching & Observability
LLMOps · Financial AI
From Hallucination to Trust: How to Guardrail Enterprise Financial AI Before It Hits Investor Desks
Stop hallucinated figures before they reach investors: score every LLM-generated earnings summary for groundedness and similarity with the Azure AI Evaluation SDK, re-check the numbers in code, and gate model changes in CI.
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Scaling Through the Spike: Mitigating High-Volume E-Commerce Flash Sales with Semantic Caching & Azure Monitor
Keep an LLM-powered storefront fast and affordable during Black Friday spikes with API Management semantic caching on Azure Managed Redis, token limits, and token telemetry in Application Insights.
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