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AI drives digital transformation for telecom leaders, but scaling it across complex hybrid environments remains one of the toughest challenges. Safaricom, one of Africa's most advanced and AI-mature mobile operators, faced this head-on. With over 50 milli

At MLRun, we're proud to announce a series of advancements in MLRun v1.10 designed to power your end-to-end orchestration layer for agentic AI applications. From a powerful and versitile prompt engineering upgrade, support for remote models and a brand ne

MLRun Community Edition (CE) is the out-of-the-box solution of MLRun for AI and ML orchestration and model lifecycle management. MLRun CE can be installed directly on your Kubernetes cluster or even on your local desktop. It provides a complete, integrate

MLRun is an open-source MLOps and gen AI orchestration framework designed to manage and automate the machine learning lifecycle. This includes everything from data ingestion and preprocessing to model training, deployment and monitoring, as well as de-ris

We've integrated MLRun with NVIDIA NeMo microservices, to extend NVIDIA's Data Flywheel Blueprint. This integration lets you automatically train, evaluate, fine-tune and monitor AI models at scale, while ensuring low latency and reduced resource use. Read

LLMs can be used for evaluating other models, which is a method known as "LLM as a Judge". This approach leverages the unique capabilities of LLMs to assess and monitor the performance and accuracy of models. In this blog, we will show a practical example

Fine-tuning is the practice of training a pre-existing AI model on new, focused data. By enhancing the model's domain-specific performance, organizations can make their LLMs production-ready and turn their generative AI applications into a competitive dif

Today we're announcing MLRun 1.8, now available to the community. This latest version adds to the series of improvements to LLM monitoring released in 1.7, with in-platform alerts. Plus, several more improvements to help to track and evaluate models, and

MLRun is an open-source framework that orchestrates the entire generative AI lifecycle, from development to deployment in Kubernetes. In this article, we'll show how MLRun replaces manual deployment processes, allowing you to get from your notebook to pro