MLRun 1.7 is now available with powerful features for Gen AI implementation, with a special emphasis on LLM monitoring.
MLRun 1.7 is now available with powerful features for Gen AI implementation, with a special emphasis on LLM monitoring.
Monitoring LLMs ensures higher performing models at higher efficiency, while meeting ethical considerations like ensuring privacy and eliminating bias and toxicity. In this blog post, we bring the top LLM metrics we recommend measuring and when to use each one.
Gen AI is already impacting customer care organizations across many different use cases. In this post we dive deep into these use cases and their business and operational impact, and show how one is built.
Building a generative AI smart call center app is a promising solution for improving the customer experience and call center efficiency. In this blog post, we explain how.
How to leverage multiple MLOps tools to streamline model serving for complex real-time use cases
We dive into these three tools to better understand their capabilities, and how they fit into the ML lifecycle.