As organizations move their first Generative AI use cases - such as summarization, Q&A, or chatbot agents - into production, they encounter new monitoring challenges deriving from Gen AI’s probabilistic nature and consumption-based pricing model. 

 

   Response Quality: Continuously evaluate the relevance and accuracy of Gen AI outputs.
  User Adoption & Feedback: Monitor how users engage with the system and collect actionable feedback.
  LLM Cost Allocation: Track and attribute language model usage to manage expenses effectively.

   Technical Performance: Measure latency and error rates, and review execution traces.

Join Ideaport Riga for a practical webinar where we’ll explore the essentials of Gen AI monitoring and demonstrate the capabilities of Magnet AI* in this domain.

 

* Magnet AI is a free and open-source low-code platform, with premium implementation and support services provided by Ideaport Riga. Learn more about Magnet AI capabilities here.