@codewithpri I have used a linux machine and a mac. I love the mac hardware and the M3/m4 chip. but i prefer the opensource OS better. Also as a backend developer linux is closer to machines i will deploy on so that makes it easier.
๐ฃ After months of collaboration across the open source community, weโre thrilled to announce the release of ๐ ๐๐ณ๐น๐ผ๐ ๐ฏ.๐ฌ! ๐
๐๐ฉ๐บ ๐ต๐ฉ๐ช๐ด ๐ฎ๐ข๐ต๐ต๐ฆ๐ณ๐ด:
GenAI has changed the game, introducing complex execution flows, subjective output quality, and new challenges for observability and evaluation. MLflow 3.0 meets these challenges head-on, expanding the platform trusted by millions for ML operations into a unified solution for all AI workloads.
Key highlights of MLflow 3.0:
๐ ๐๐ฒ๐ฒ๐ฝ ๐ข๐ฏ๐๐ฒ๐ฟ๐๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ ๐๐ถ๐๐ต ๐ง๐ฟ๐ฎ๐ฐ๐ถ๐ป๐ด
Instantly capture complex GenAI execution flowsโincluding every LLM call, vector retrieval, document ranking, and prompt orchestration. MLflow Tracing provides a complete, hierarchical timeline for debugging and monitoring, all with a single line of code.
๐ ๐ฆ๐๐๐๐ฒ๐บ๐ฎ๐๐ถ๐ฐ ๐ค๐๐ฎ๐น๐ถ๐๐ ๐๐๐ฎ๐น๐๐ฎ๐๐ถ๐ผ๐ป
Evaluate GenAI quality at scale using the new evaluation framework. Assess outputs with built-in and custom LLM judges, human feedback, and automated scoringโdirectly on tracesโso you can compare and improve application versions with confidence.
๐ ๐จ๐ป๐ถ๐ณ๐ถ๐ฒ๐ฑ ๐๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ถ๐ณ๐ฒ๐ฐ๐๐ฐ๐น๐ฒ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐
Treat GenAI applications as first-class, versioned artifacts. Package, register, and deploy your complete appโincluding models, prompts, retrieval logic, and dependenciesโatomically, ensuring what you test is exactly what you deploy.
๐ ๐๐ป๐ต๐ฎ๐ป๐ฐ๐ฒ๐ฑ ๐ ๐ผ๐ฑ๐ฒ๐น ๐ฅ๐ฒ๐ด๐ถ๐๐๐ฟ๐ & ๐๐ฒ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐
The new LoggedModel abstraction tracks the full lifecycle of both GenAI and traditional ML models, linking metrics, parameters, and traces across training, evaluation, and deployment. Deployment Jobs orchestrate evaluation, approval, and deployment with automated quality gates, all governed by Unity Catalog.
๐ ๐๐บ๐ฝ๐ฟ๐ผ๐๐ฒ๐บ๐ฒ๐ป๐๐ ๐ณ๐ผ๐ฟ ๐ง๐ฟ๐ฎ๐ฑ๐ถ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ ๐ & ๐๐ฒ๐ฒ๐ฝ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด
Enhanced experiment tracking, unified evaluation, and better checkpoint management benefit all model typesโfrom scikit-learn classifiers to multi-modal foundation models.
Ready to get started? Upgrade withย ๐๐๐ ๐๐๐๐๐๐๐ -๐ ๐๐๐๐๐๐ ย and experience the next era of unified, observable, and reliable AI development.
๐ Learn more:ย https://t.co/RCkJkwUCdz
๐ View the release notes:ย https://t.co/tjnfTuWsyr
P.S. Our BRAND NEW https://t.co/4HVNb2Obbn website is now LIVE! Check it out today. ๐
#opensource #mlflow #ml #oss #linuxfoundation
@shweta_ai It is rather lacking in modern society. People are able to hide behind their devices and pretend to be more emotionally mature than they are.