eferro's random stuff: Good talks/podcasts (Ago 2023 I) https://eferro.net/2023/08/good-talkspodcasts-ago-2023-i.html
#SoftwareEngineering #ProductDevelopment #MLOps #Scalability
#softwareengineering #productdevelopment #MLOps #scalability
What is #Kubeflow?
It's an open-source, Kubernetes-native MLOps platform for developing & deploying distributed ML for the most popular: TensorFlow, PyTorch, and more.
Check out more details on #InfoQ: https://bit.ly/3YXaSBR
#kubeflow #infoq #opensource #kubernetes #MLOps #machinelearning
New release! Shadow test decision models with Nextmv. Check out all the goodness in the release blog: https://www.nextmv.io/blog/release-shadow-testing-for-decision-models-in-nextmv
Let us know what you think!
#orms #datascience #MLOps #decisionops
My thinking here is that @huggingface is an acquisition target for #NVIDIA because they don't have an #MLOps platform offering - I also wonder where #GitLab sits in all this too ...
#CaseStudy – find out how #Airbnb boosts productivity & scalability by transforming raw data into features for training & inference.
Meet #Chronon - a declarative #FeatureEngineering framework: https://bit.ly/3OAUJNE
#casestudy #airbnb #chronon #featureengineering #infoq #AI #ml #phyton #MLOps
The #docs are coming along nicely: https://teainspace.github.io/ame/user_guide/0_introduction/
Still lots of todos though hahah
Today is all about docs for https://github.com/TeaInSpace/ame. I have to turn this: https://teainspace.github.io/ame/ into something a bit more complete.
Working on AME, I will be focusing on writing tests today.
AME: https://github.com/TeaInSpace/ame
Streaming on Twitch and YouTube. Come hang out :) :ferris: :kubernetes:
Gcore partners with UbiOps and Graphcore to empower AI teams https://www.artificialintelligence-news.com/2023/07/27/gcore-partners-ubiops-graphcore-empower-ai-teams/ #ai #ml #mlops #news #tech #technology
#AI #ml #MLOps #News #tech #Technology
Introducing the latest Machine Learning Lens for the AWS Well-Architected Framework 👉 A consistent approach to evaluate ML architectures, implement scalable designs, and identify and mitigate technical risks https://aws.amazon.com/blogs/architecture/introducing-the-latest-machine-learning-lens-for-the-aws-well-architected-framework/ #AWS #MLOps #MachineLearning #ML
#aws #MLOps #machinelearning #ml
#hpc #mlops #devops #cloudnative — amazed at how many cloud engineers are jumping into hpc, and looking forward to the inovations they’ll bring with them!
#hpc #MLOps #devops #cloudnative
Nice tutorial 👉 Deploy a serverless ML inference endpoint of large language models using FastAPI, AWS Lambda, and AWS CDK https://aws.amazon.com/blogs/machine-learning/deploy-a-serverless-ml-inference-endpoint-of-large-language-models-using-fastapi-aws-lambda-and-aws-cdk/ #AWS #MachineLearning #ML #DevOps #MLOps #Serverless
#aws #machinelearning #ml #devops #MLOps #serverless
📝 "Multiple models on one API"
👤 Isabel Zimmerman (@isabelizimm)
🔗 https://isabelizimm.github.io/posts/multiple-models-api/models.html
#rladies #rstats #r #vetiver #MLOps
Couldn't find any reference on #Mlops maturity model on AWS but found on Microsoft https://learn.microsoft.com/en-us/azure/architecture/example-scenario/mlops/mlops-maturity-model
📝 "MLOps made simple: how to run a batch prediction pipeline using Azure Machine Learning components"
👤 Déborah Mesquita
#pyladies #python #datascience #mlops #azuremachinelearning #azure
#pyladies #python #datascience #MLOps #azuremachinelearning #azure
On #TheDataExchangePod: Alex Remedios of treebeardtech delves into the fascinating narrative of the NHS Early Warning System transformation using Ray. Keep up-to-date with current trends in #MLOps and discover nbmake, an innovative open-source Pytest plugin designed for notebook testing. Learn first-hand how adopting rigorous software engineering principles can drastically improve the deployment of #machinelearning applications.
https://thedataexchange.media/building-robust-ai-infrastructure-for-critical-solutions/
#machinelearning #MLOps #TheDataExchangepod