Have you heard the news? MLflow now supports tracking for @DSPyOSS optimization workflows—just like it does for #PyTorch training!
With DSPy, you can automatically optimize your #LLM prompts using powerful optimizers, and now #MLflow is the first and only framework to bring full
MLflow 1.14.0 is released with numpy tensors input for model inferences API, enhanced SHAP explainer APIs, improvements to docs, bug fixes, and more. Check the release notes github.com/mlflow/mlflow/…
📣 After months of collaboration across the open source community, we’re thrilled to announce the release of 𝗠𝗟𝗳𝗹𝗼𝘄 𝟯.𝟬! 🎉
𝘞𝘩𝘺 𝘵𝘩𝘪𝘴 𝘮𝘢𝘵𝘵𝘦𝘳𝘴:
GenAI has changed the game, introducing complex execution flows, subjective output quality, and new challenges for
MLflow Tracing is a powerful feature designed to enhance #LLM observability in your #GenAI applications by capturing detailed information about the execution of your application's services. 🙌
With Tracing, you can record the inputs, outputs, and metadata for every intermediate
[ANNOUNCEMENT] MLflow 1.13 is released with new fluent APIs for logging in-memory objects as artifacts, auto logging & UI improvements, along with many bug fixes. Check it out and let us know. Happy Holidays!
mlflow.org/news/2020/12/2…
MLflow 1.4 was just released, including a beta of the MLflow Model Registry and improved support for autologging in tf.keras and #TensorFlow 2.0! Just in time for #TensorFlowWorld. Full details here:
MLflow 1.0 is out today! Read a summary of the changes in this blog post: databricks.com/blog/2019/06/0…. Thanks to everyone who helped test and contribute!
MLflow 1.1 is out today, featuring automatic logging from TensorFlow and Keras, better search APIs, a Kubernetes execution backend, better Java APIs and more! Details:
We just released MLflow 1.5, featuring integrations with LightGBM, XGBoost and Gluon as well as many bug fixes and improvements! Check out what's new in our release notes or pip install mlflow to get started:
MLflow 1.3 is out today with support for #tensorflow 2.0, some big performance improvements, and a bunch of new APIs! See the release notes at github.com/mlflow/mlflow/… or pip install mlflow to get started.
