Introducing mlstacks: a refreshed way to deploy MLOps infrastructure
September 1, 2023 - Alex Strick van Linschoten - 3 mins read
We released an updated way to deploy MLOps infrastructure, building on the success of the `mlops-stack` repo and its stack recipes. All the new goodies are available via the `mlstacks` Python package.
Launching MLOps Platform Sandbox: A Production-Ready MLOps Platform in an Ephemeral Environment
May 31, 2023 - Alex Strick van Linschoten - 4 mins read
An easy way to deploy an ephemeral MLOps stack, inclusive of ZenML, Kubeflow, MLflow, and Minio Bucket. This one-stop sandbox provides users an interactive playground to explore pre-built pipelines and effortlessly experiment with various MLOps tools, without the burden of infrastructure setup and management.
Unleashing More Power and Flexibility with ZenML's New Pipeline and Step Syntax
May 26, 2023 - Alex Strick van Linschoten - 7 mins read
The 0.40.0 release introduces a completely reworked interface for developing your ZenML steps and pipelines. It makes working with these components much more natural, intuitive, and enjoyable.
Using ZenML with LLMs to Analyze Your Databases: A Case Study with you-tldr.com and Supabase/GPT-4
April 30, 2023 - Hamza Tahir - 10 mins read
Explore how ZenML, an MLOps framework, can be used with large language models (LLMs) like GPT-4 to analyze and version data from databases like Supabase. In this case study, we examine the you-tldr.com website, showcasing ZenML pipelines asynchronously processing video data and generating summaries with GPT-4. Understand how to tackle large language model limitations by versioning data and comparing summaries to unlock your data's potential. Learn how this approach can be easily adapted to work with other databases and LLMs, providing flexibility and versatility for your specific needs.
Introducing ZenML Hub: Streamlining MLOps Collaboration with Reusable Components
April 12, 2023 - Hamza Tahir - 6 mins read
ZenML is launching the ZenML Hub, a novel plugin system that allows users to contribute and consume stack component flavors, pipelines, steps, materializers, and other pieces of code seamlessly in their ML pipelines.
Productionalizing LangChain and LlamaIndex with a ZenML MLOps Pipeline to Help Community Slack Support
March 31, 2023 - Alex Strick van Linschoten - 10 mins read
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.
