Company profile

MLflow

The open source AI engineering platform for building production-grade agents, LLM applications, and ML models.

Industry
Software Development
Employees
48
Headquarters
San Francisco, CA
Founded
2018
LinkedIn followers
78,282
Office locations
1

MLflow company summary

MLflow is a company in the Software Development industry, headquartered in San Francisco, CA, founded in 2018. On LinkedIn the company has around 48 employees and 78,282 followers.

What technology does MLflow use?

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About MLflow

MLflow is an open-source platform for managing the complete machine learning lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow supports both traditional ML and generative AI workflows: - MLflow Tracking: Record and query experiments, including code, data, config, and results. Now with integrated tracing for GenAI workflows across multiple frameworks. - MLflow Models: Deploy machine learning models in diverse serving environments, with GenAI support for ChatModels and streaming interfaces. - Model Registry: Store, annotate, discover, and manage models in a central repository. - MLflow Evaluation: Evaluate model performance using customizable metrics, including LLM-as-judge frameworks and GenAI-specific benchmarks. - MLflow Deployments: Simplify model deployment and serving across various platforms, with expanded capabilities for hosting large language models. Subscribe to our luma calendar for updates about meetups, office hours, and other events: https://lu.ma/mlflow View code on GitHub here: https://github.com/mlflow/mlflow/ To discuss or get help, please join our mailing list mlflow-users@googlegroups.com

Where is MLflow located?

MLflow lists 1 location.

San Francisco, CA, USHQ

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Frequently asked questions about MLflow

What does MLflow do?

MLflow is an open-source platform for managing the complete machine learning lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow supports both traditional ML and generative AI workflows: - MLflow Tracking: Record and query experiments, including code, data, config, and results. Now with integrated tracing for GenAI workflows across multiple frameworks. - MLflow Models: Deploy machine learning models in diverse serving environments, with GenAI support for ChatModels and streaming interfaces. - Model Registry: Store, annotate, discover, and manage models in a central repository. - MLflow Evaluation: Evaluate model performance using customizable metrics, including LLM-as-judge frameworks and GenAI-specific benchmarks. - MLflow Deployments: Simplify model deployment and serving across various platforms, with expanded capabilities for hosting large language models. Subscribe to our luma calendar for updates about meetups, office hours, and other events: https://lu.ma/mlflow View code on GitHub here: https://github.com/mlflow/mlflow/ To discuss or get help, please join our mailing list mlflow-users@googlegroups.com

How many employees does MLflow have?

MLflow has around 48 employees on LinkedIn.

Where is MLflow headquartered?

MLflow is headquartered in San Francisco, CA.

When was MLflow founded?

MLflow was founded in 2018.

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