Predicting the winner of a DotA 2 match using distributed deep learning pipelines
ZenML makes it easy to setup training pipelines that give you all the benefits of cached steps.
Boost Your MLOps Efficiency: Integrate ZenML and Comet for Better Experiment Tracking
This blog post discusses the integration of ZenML and Comet, an open-source machine learning pipeline management platform, to enhance the experimentation process. ZenML is an extensible framework for creating portable, production-ready pipelines, while Comet is a platform for tracking, comparing, explaining, and optimizing experiments and models. The combination offers seamless experiment tracking, enhanced visibility, simplified workflow, improved collaboration, and flexible configuration. The process involves installing ZenML and enabling Comet integration, registering the Comet experiment tracker in the ZenML stack, and customizing experiment settings.
The Ultimate Guide to LLM Batch Inference with OpenAI and ZenML
OpenAI's Batch API allows you to submit queries for 50% of what you'd normally pay. Not all their models work with the service, but in many use cases this will save you lots of money on your LLM inference, just so long as you're not building a chatbot!