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Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Model Deployment: From Notebook to Production
The steps between a model that works in a notebook and one people can rely on: choosing batch or online serving, turning the notebook into a reproducible pipeline, a concrete case of training-serving skew and how a saved pipeline prevents it, a small validated prediction API, and what to monitor after launch.
How to Reduce LLM Hallucinations in Production
Language models state wrong things fluently, and in production that becomes a support or legal problem. This guide explains why models hallucinate, then asks a small model twelve questions about an invented shop's policies under four set-ups, from no document to a document with rules and a quote check in code.