LLMOps: from Demo to Production-Ready GenAI Systems

Over the past 2 years, the development of Large Language Model (LLM) has opened up countless areas of their application. It has become an almost trivial task to create a demo of an application that generates valuable content based on user conversations or multimodal model inputs. Unfortunately, as the experience of many projects shows, the process of operationalizing such solutions is already much more complicated. So how can an LLMOps-based approach help address challenges such as:
⚠️ Model quality assessment
⚠️ Use of advanced patterns (Agentic Workflows or Mixture of Agents)
⚠️ Sensitivity / instability of prompts
⚠️ Cost control
⚠️ Security
⚠️ Model tuning

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