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The latest news, opinions and technical guides from ZenML.
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Steerable Deep Research: Building Production-Ready Agentic Workflows with Controlled Autonomy

Learn how to build production-ready agentic AI workflows that combine powerful research capabilities with enterprise-grade observability, reproducibility, and cost control using ZenML's structured approach to controlled autonomy.
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Newsletter Edition #15 - Why you don't need an agent (but you might need a workflow)

Discover why production teams are treating agentic workflows as MLOps evolution, not revolution—plus how ZenML achieved 200x performance improvements for enterprise ML operations. Real insights from 130+ MLOps engineers on building reliable AI systems.
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NVIDIA KAI Scheduler: Optimize GPU Usage in ZenML Pipelines

Discover how to optimize GPU utilization in Kubernetes environments by integrating NVIDIA's KAI Scheduler with ZenML pipelines, enabling fractional GPU allocation for improved resource efficiency and cost savings in machine learning workflows.
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Streamlined ML Model Deployment: A Practical Approach

OncoClear is an end-to-end MLOps solution that transforms raw diagnostic measurements into reliable cancer classification predictions. Built with ZenML's robust framework, it delivers enterprise-grade machine learning pipelines that can be deployed in both development and production environments.
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Building a Pipeline for Automating Case Study Classification

Can automated classification effectively distinguish real-world, production-grade LLM implementations from theoretical discussions? Follow my journey building a reliable LLMOps classification pipeline—moving from manual reviews, through prompt-engineered approaches, to fine-tuning ModernBERT. Discover practical insights, unexpected findings, and why a smaller fine-tuned model proved superior for fast, accurate, and scalable classification.
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Multimodal LLM Pipelines: From Data Ingestion to Real-Time Inference

Learn how to build, fine-tune, and deploy multimodal LLMs using ZenML. Explore LLMOps best practices for deployment, real-time inference and model management.
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Productionalizing NLP models with ZenML

Seamlessly automating the journey from training to production, ZenML's new NLP project template offers a comprehensive MLOps solution for teams deploying Huggingface models to AWS Sagemaker endpoints. With its focus on reproducibility, scalability, and best practices, the template simplifies the integration of NLP models into workflows, complete with lineage tracking and various deployment options.
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October 20, 2023
6 Mins Read

ZenNews: Generate summarized news on a schedule

ZenNews is a tool powered by ZenML that can automate the summarization of news sources and save you time and effort while providing you with the information you need.
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October 19, 2023
14 Mins Read

Will they stay or will they go? Building a Customer Loyalty Predictor

We built an end-to-end production-grade pipeline using ZenML for a customer churn model that can predict whether a customer will remain engaged with the company or not.
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