# MLRun.org > Build ML and Gen AI for Production MLRun is an open-source AI orchestration framework for managing ML and generative AI applications across their lifecycle. It automates data preparation, model tuning, --- ## Pages - [Homepage new](https://www.mlrun.org/): MLRun offers an integrative approach to manage your ML pipelines from early development through management in your production environment. - [Blog](https://www.mlrun.org/blog/): Stay updated with MLRun’s latest tutorials, releases, and insights on MLOps and Gen AI orchestration to enhance your ML workflows. - [Choose a deployment option:](https://www.mlrun.org/choose-a-deployment-option/): Explore MLRun deployment options: run on your laptop, on Kubernetes, on AWS, or choose our managed enterprise service. --- ## Posts - [Open Source MLOps and LLMOps Orchestration with MLRun: Quick Start Tutorial](https://www.mlrun.org/blog/open-source-mlops-and-llmops-orchestration/) - [MLRun + NVIDIA NeMo: Building Observable AI Data Flywheels in Production](https://www.mlrun.org/blog/mlrun-nvidia-nemo-building-observable-ai-data-flywheels-in-production/): We are proud to announce a new integration between MLRun and NVIDIA NeMo microservices, by extending NVIDIA Data Flywheel Blueprint. - [LLM as a Judge: Practical Example with Open-Source MLRun](https://www.mlrun.org/blog/llm-as-a-judge-practical-example-with-open-source-mlrun/) - [Fine-Tuning in MLRun: How to Get Started](https://www.mlrun.org/blog/fine-tuning-in-mlrun-how-to-get-started/): How MLRun simplifies and accelerates fine-tuning workflows. See two practical, hands-on examples, which you can easily follow and replicate. - [MLRun v1.8 Release: with Smarter Model Monitoring, Alerts and Tracking](https://www.mlrun.org/blog/mlrun-v1-8-release-with-smarter-model-monitoring-alerts-and-tracking/): MLRun v1.8 adds features to make LLM and ML evaluation and monitoring more accessible, practical and resource-efficient. - [Bringing (Gen) AI from Laptop to Production with MLRun](https://www.mlrun.org/blog/bringing-gen-ai-from-laptop-to-production-with-mlrun-2/): A gen AI copilot is an interactive AI assistant that is designed to amplify human capabilities. Here's how to build one using MLRun. - [MLRun Customer Support Gen AI Copilot](https://www.mlrun.org/blog/mlrun-customer-support-gen-ai-copilot/): A gen AI copilot is an interactive AI assistant that is designed to amplify human capabilities. Here's how to build one using MLRun. - [How to Connect MLRun to an External Monitoring Application](https://www.mlrun.org/blog/how-to-connect-mlrun-to-an-external-monitoring-application/): Integrating MLRun with an external monitoring application is simple and straightforward. Here’s how it works. - [Launching MLRun 1.7: Gen AI and LLM Monitoring](https://www.mlrun.org/blog/launching-mlrun-1-7-gen-ai-and-llm-monitoring/): Introducing MLRun 1.7: enhanced Gen AI deployment with flexible monitoring, unstructured data tracking, and customizable endpoint metrics. - [How to Operationalize Your Own Customized Application for Monitoring LLMs with MLRun](https://www.mlrun.org/blog/operationalize-your-own-customized-application-for-monitoring-llms/): Learn how to build and operationalize a customized monitoring application for LLMs using MLRun to boost performance and insights. - [Deploying Hugging Face LLM Models with MLRun](https://www.mlrun.org/blog/deploying-hugging-face-llm-models-with-mlrun/) - [Tutorial: Build a Smart Call Center Analysis Gen AI App with MLRun, Gradio and SQLAlchemy](https://www.mlrun.org/blog/build-a-smart-call-center-analysis-gen-ai-app/): Build a smart call center analysis Gen AI app using MLRun, Gradio, and SQLAlchemy with this step-by-step tutorial. --- ## Resources - [Bring Data Science to Life: Develop on SageMaker | Deploy with MLRun on Iguazio (DEMO)](https://www.mlrun.org/blog/resources/aws-and-iguazio-bring-data-science-to-life/): AWS and Iguazio Bring Data Science to Life: Develop on SageMaker --- ## News - [How to mask PII before LLM training with MLRun](https://www.mlrun.org/blog/news/how-to-mask-pii-before-llm-training-with-mlrun/): The PII Recognizer is an open source function that can detect PII data in datasets and anonymize the PII entity... - [Demo: Smart Call Center Analysis App](https://www.mlrun.org/blog/news/demo-smart-call-center-analysis-app/): In this demo we will be showcasing how we used LLMs to turn call center conversation audio files of customers... - [MLOps for Generative AI with MLRun](https://www.mlrun.org/blog/news/mlops-for-generative-ai-with-mlrun/): The influx of new tools like ChatGPT spark the imagination and highlight the importance of Generative AI and foundation models... - [How to train on Databricks and deploy with MLRun](https://www.mlrun.org/blog/news/how-to-train-on-databricks-and-deploy-with-mlrun/): Here’s how to use Databricks for model training and tracking while using MLRun to deploy model serving. Read the full... - [Kubeflow Vs. MLflow Vs. MLRun: Which One is Right for You?](https://www.mlrun.org/blog/news/kubeflow-vs-mlflow-vs-mlrun-which-one-is-right-for-you/): The open source ML tooling ecosystem has become vast in the last few years, with many tools covering different aspects... - [Deploying Your Hugging Face Models to Production at Scale with MLRun](https://www.mlrun.org/blog/news/deploying-your-hugging-face-models-to-production-at-scale-with-mlrun/): Using Hugging Face and MLRun together significantly shortens the model development, training, testing, deployment and monitoring process. By getting your... - [Using MLRun to Automate Logging & Tracking for ML](https://www.mlrun.org/blog/news/using-mlrun-to-automate-logging-tracking-for-ml/): From AutoML to AutoMLOps: This post shows you how to automate engineering tasks like logging and tracking, so that your... - [How to Deploy an MLRun Project in a CI/CD Process with Jenkins Pipeline](https://www.mlrun.org/blog/news/how-to-deploy-an-mlrun-project-in-a-ci-cd-process-with-jenkins-pipeline/): This article walks you through the steps to run a Jenkins server in docker and deploy the MLRun project using... - [How to Build an AI App in Under 20 Minutes](https://www.mlrun.org/blog/news/how-to-build-an-ai-app-in-under-20-minutes/): Here’s how to build simple AI applications that leverage MLRun and some pre-built ML models and allow you to interact... - [Machine Learning Experiment Tracking: From Zero to Hero in 2 Lines of Code](https://www.mlrun.org/blog/news/machine-learning-experiment-tracking-from-zero-to-hero-in-2-lines-of-code/): Here’s a simple tutorial on how to turn your existing model training code into an MLRun job and get the... - [MLRun v1.0.0](https://www.mlrun.org/blog/news/mlrun-v1-0-0/): MLRun v0. 10 is now generally available. This release includes: Snowflake is now supported as a datasource for the feature... - [How to build an AI app with MLRun in 5 min](https://www.mlrun.org/blog/news/how-to-build-an-ai-app-with-mlrun-in-5-min/): A simple tutorial showing how to build an image classifier AI app in 5 minutes with MLRun, including a look... - [MLRun 0.10](https://www.mlrun.org/blog/news/mlrun-0-10/): MLRun v0. 10 is now generally available. This release includes: New project-level menu. When accessing a project in the Projects page,... - [MLRun @ ODSC: Git-based CI/CD for ML](https://www.mlrun.org/blog/news/mlrun-odsc-git-based-ci-cd-for-ml/): In this session, Yaron Haviv, MLRun Co-Founder, discusses how to enable continuous delivery of machine learning to production using Git-based... - [MLRun 0.9 Release](https://www.mlrun.org/blog/news/mlrun-0-9-release/): MLRun v0. 9 is now generally available. This release includes: MySQL is now the underlying database in MLRun, replacing SQLite. Feature... - [MLRun 0.8 Release](https://www.mlrun.org/blog/news/mlrun-0-8-release/): MLRun v0. 8 is now generally available. This release includes: Projects now have members (users, user groups), thereby controlling access... - [MLRun 0.7.0](https://www.mlrun.org/blog/news/mlrun-0-7-0/): MLRun version 0. 7. 0 and 0. 7. 1 are now generally available. These releases includes the following: Automate the... - [MLRun 0.6.5 release](https://www.mlrun.org/blog/news/mlrun-0-6-5-release/): MLRun version 0. 6. 5 is now generally available. The release includes the following: Supports node selectors when running a... - [#MLOpsforGood Hackathon Projects](https://www.mlrun.org/blog/news/mlopsforgood-hackathon-projects/): Take a look at a few of the inspiring projects from our first-ever hackathon: ICU-OPS: Help frontline clinicians triage patients... - [MLRun 0.6.4 Release](https://www.mlrun.org/blog/news/mlrun-0-6-4-release/): Check out the latest release of MLRun, with several new features and enhancements. Feature store updates: Parquet partitioning is now... - [MLRun 0.6.3 Release](https://www.mlrun.org/blog/news/mlrun-0-6-3-release/): Check out the latest release of MLRun, with updates to the feature store, and more functionality from the UI. Feature... --- # # Detailed Content ## Pages --- ## Posts > Build a smart call center analysis Gen AI app using MLRun, Gradio, and SQLAlchemy with this step-by-step tutorial. - Published: 2024-06-13 - Modified: 2025-02-27 - URL: https://www.mlrun.org/blog/build-a-smart-call-center-analysis-gen-ai-app/ - Categories: Uncategorized --- --- ## Resources - Published: 2021-01-31 - Modified: 2021-04-05 - URL: https://www.mlrun.org/blog/resources/aws-and-iguazio-bring-data-science-to-life/ --- --- ## News - Published: 2024-01-21 - Modified: 2024-01-21 - URL: https://www.mlrun.org/blog/news/how-to-mask-pii-before-llm-training-with-mlrun/ --- - Published: 2023-09-21 - Modified: 2024-01-21 - URL: https://www.mlrun.org/blog/news/demo-smart-call-center-analysis-app/ --- - Published: 2023-06-01 - Modified: 2023-06-01 - URL: https://www.mlrun.org/blog/news/mlops-for-generative-ai-with-mlrun/ --- - Published: 2023-05-15 - Modified: 2023-05-15 - URL: https://www.mlrun.org/blog/news/how-to-train-on-databricks-and-deploy-with-mlrun/ --- - Published: 2023-03-28 - Modified: 2023-05-15 - URL: https://www.mlrun.org/blog/news/kubeflow-vs-mlflow-vs-mlrun-which-one-is-right-for-you/ --- - Published: 2022-11-15 - Modified: 2023-05-15 - URL: https://www.mlrun.org/blog/news/deploying-your-hugging-face-models-to-production-at-scale-with-mlrun/ --- - Published: 2022-10-03 - Modified: 2022-10-03 - URL: https://www.mlrun.org/blog/news/using-mlrun-to-automate-logging-tracking-for-ml/ --- - Published: 2022-08-16 - Modified: 2022-08-16 - URL: https://www.mlrun.org/blog/news/how-to-deploy-an-mlrun-project-in-a-ci-cd-process-with-jenkins-pipeline/ --- - Published: 2022-08-16 - Modified: 2022-08-16 - URL: https://www.mlrun.org/blog/news/how-to-build-an-ai-app-in-under-20-minutes/ --- - Published: 2022-06-30 - Modified: 2022-06-30 - URL: https://www.mlrun.org/blog/news/machine-learning-experiment-tracking-from-zero-to-hero-in-2-lines-of-code/ --- - Published: 2022-05-30 - Modified: 2022-05-30 - URL: https://www.mlrun.org/blog/news/mlrun-v1-0-0/ --- - Published: 2022-05-29 - Modified: 2022-05-29 - URL: https://www.mlrun.org/blog/news/how-to-build-an-ai-app-with-mlrun-in-5-min/ --- - Published: 2022-03-09 - Modified: 2022-03-21 - URL: https://www.mlrun.org/blog/news/mlrun-0-10/ --- - Published: 2022-02-28 - Modified: 2022-05-29 - URL: https://www.mlrun.org/blog/news/mlrun-odsc-git-based-ci-cd-for-ml/ --- - Published: 2022-01-04 - Modified: 2022-01-24 - URL: https://www.mlrun.org/blog/news/mlrun-0-9-release/ --- - Published: 2021-11-02 - Modified: 2021-12-08 - URL: https://www.mlrun.org/blog/news/mlrun-0-8-release/ --- - Published: 2021-09-09 - Modified: 2021-10-21 - URL: https://www.mlrun.org/blog/news/mlrun-0-7-0/ --- - Published: 2021-08-08 - Modified: 2021-08-16 - URL: https://www.mlrun.org/blog/news/mlrun-0-6-5-release/ --- - Published: 2021-07-19 - Modified: 2021-08-16 - URL: https://www.mlrun.org/blog/news/mlopsforgood-hackathon-projects/ --- - Published: 2021-06-06 - Modified: 2021-10-13 - URL: https://www.mlrun.org/blog/news/mlrun-0-6-4-release/ --- - Published: 2021-05-13 - Modified: 2021-10-13 - URL: https://www.mlrun.org/blog/news/mlrun-0-6-3-release/ --- ---