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CVE-2024-25723: Critical Security Update for ZenML users
ZenML
1 min

CVE-2024-25723: Critical Security Update for ZenML users

A critical security vulnerability has been identified in ZenML versions prior to 0.46.7. This vulnerability potentially allows unauthorized users to take ownership of ZenML accounts through the user activation feature.
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Productionalizing LangChain and LlamaIndex with a ZenML MLOps Pipeline to Help Community Slack Support
ZenML
10 Mins Read

Productionalizing LangChain and LlamaIndex with a ZenML MLOps Pipeline to Help Community Slack Support

We decided to explore how the emerging technologies around Large Language Models (LLMs) could seamlessly fit into ZenML's MLOps workflows and standards. We created and deployed a Slack bot to provide community support.
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Build ML Models Faster with ZenML Project Templates
ZenML
5 Mins Read

Build ML Models Faster with ZenML Project Templates

Getting started with your ML project work is easier than ever with Project Templates, a new way to generate scaffolding and a skeleton project structure based on best practices.
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ChequeEasy: Banking with Transformers
ZenML
10 Mins Read

ChequeEasy: Banking with Transformers

A winning entry - 3rd prize winner at Month of MLOps 2022 competition. Extraction of metadata from cheques using Transformers and ZenML.
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Detecting Fraudulent Financial Transactions with ZenML
ZenML
6 Mins Read

Detecting Fraudulent Financial Transactions with ZenML

A winning entry - 2nd prize winner at Month of MLOps 2022 competition.
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How to train and deploy a machine learning model on AWS Sagemaker with ZenML and BentoML
ZenML
11 Mins Read

How to train and deploy a machine learning model on AWS Sagemaker with ZenML and BentoML

Learn how to use ZenML pipelines and BentoML to easily deploy machine learning models, be it on local or cloud environments. We will show you how to train a model using ZenML, package it with BentoML, and deploy it to a local machine or cloud provider. By the end of this post, you will have a better understanding of how to streamline the deployment of your machine learning models using ZenML and BentoML.
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Transforming Vanilla PyTorch Code into Production Ready ML Pipeline - Without Selling Your Soul
ZenML
24 Mins Read

Transforming Vanilla PyTorch Code into Production Ready ML Pipeline - Without Selling Your Soul

Transform quickstart PyTorch code as a ZenML pipeline and add experiment tracking and secrets manager component.
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Deploy your ML models with KServe and ZenML
ZenML
14 Mins Read

Deploy your ML models with KServe and ZenML

How to use ZenML and KServe to deploy serverless ML models in just a few steps.
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How to run production ML workflows natively on Kubernetes
ZenML
13 Mins Read

How to run production ML workflows natively on Kubernetes

Getting started with distributed ML in the cloud: How to orchestrate ML workflows natively on Amazon Elastic Kubernetes Service (EKS).
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