GenerativeAI is rapidly establishing itself as an emerging technology with many use cases. For Observability, integrating GenerativeAI allows more flexibility and automation in the operations workflows. My talk will explore how AI Agents expand the Observability workflows and how we can use observability to further trace GenerativeAI 's efficiency. My talk will explore the architecture of transformers and GenerativeAI, how these basic Machine Learning architecture blend to create the AI Agents workflows. Then we will deep dive in the use cases for Observability explaining how GenerativeAI can trigger fully automated workflows. Working with LLMs as Judge is a new concept for both GenerativeAI and Observability and we will analyze the benefits they bring to the overall architecture. The audience will gain insights into the newer developments of GenerativeAI into the Observability realms, how they can apply typical Machine Learning workflows to DevOps infrastructures.
LANGUAGE
English
FORMAT
Talk
