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Building a high-quality chatbot is not just about generating good-looking responses. In production environments, quality is a multidimensional concept that covers a wide range of metrics and requires strict alignment with business expectations. Modern LLM-powered chatbots operate in a dynamic, high-traffic space where even small degradations in output quality can quickly lead to user frustration, increased support load, or financial and reputational risks. Many teams still tr

Building a modern LLM-powered chatbot application is a complex process that is focused not only on making calls to a model via a user interface. Today, production-ready systems require a robust architecture that includes observability, traceability, configuration management, security controls, and continuous health monitoring. Many teams underestimate these foundational components, focusing solely on prompts or model selection - and as a result, face unpredictable issues, sec

Starting a new career in any domain is always challenging and exciting. In the field of data science, it is even more stressful and...

Data Science & Machine Learning industry is growing steadily. Less than 10 years ago, Data Science projects were mostly developed by a...