On this episode of the ML Platform Podcast, Adam Probs and Hamza Tahir discuss workflow orchestration and pipeline authoring in MLOps, focusing on ZenML's capabilities. They cover the main jobs-to-be-done, challenges behind testing integrations, ZenML’s role in end-to-end ML platforms, ZenML Cloud, the future of MLOps with LLMs, and more.
Timestamps:
00:00 Introduction
01:19 Who are Adam and Hamza?
02:19 What are ZenML’s jobs-to-be-done?
05:32 How does ZenML work?
12:03 Connecting the MLOps stack via ZenML
20:04 Artifact storage and versioning
24:37 ZenML in the context of end-to-end ML platforms
32:27 ZenML Cloud and the future of the platform
38:41 Integrating with orchestrators
44:51 Jobs-to-be-done in MLOps for LLMs
51:43 Closing remarks
Resources:
ZenML's big announcement: www.zenml.io/blog/oss-dashboard-release
ZenML on Github: github.com/zenml-io/zenml
ML Experiment Tracking: What It Is, Why It Matters, and How to Implement It: neptune.ai/blog/ml-experiment-tracking?
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► Vist our website: neptune.ai/?
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Connect with Piotr on Linkedin: www.linkedin.com/in/piotrniedzwiedz
Connect with Aurimas on Linkedin: www.linkedin.com/in/aurimas-griciunas
Connect with Adam on Linkedin: www.linkedin.com/in/adam-probst
Connect with Hamza on Linkedin: www.linkedin.com/in/hamzatahirofficial
#workfloworchestration #pipelineauthoring #zenml #mlops #ml
Негізгі бет Ғылым және технология Breaking Down Workflow Orchestration and Pipeline Authoring in MLOps
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