Framework, Template, or Example? 🤔 Choosing the Right AI Starter Kit for Your Team ✨Building AI applications is incredibly exciting. But let’s be honest: getting started can be challenging, especially in large…6d ago6d ago
More Automation + More Reproducibility = MLOps Python Package v4.1.0The MLOps Python Package is your go-to solution for building robust and reproducible AI/ML workflows. Check out the latest v4.1.0 release!Mar 6Mar 6
Meet Kate: Your AI-Powered, Live Multimodal Website Assistant 🤖Meet Kate: an AI-powered, live, multimodal website assistant. She uses voice, understands your needs, and retrieves info from a websiteFeb 151Feb 151
Lessons Learned from the Gemini Long Context Kaggle Competition 🧠Explored Gemini’s long context in a Kaggle competition. Key lessons learned about its potential and limitations for real-world…Feb 7Feb 7
Stop Building Rigid AI/ML Pipelines: Embrace Reusable Components for Flexible MLOpsMLOps pipelines are often too rigid. We propose using reusable artifacts orchestrated by DAGs. Think functional programming for ML!Jan 30Jan 30
Poetry Was Good, Uv Is Better: An MLOps Migration StoryPoetry to Uv: A faster, simpler way to manage dependencies for MLOps projectsJan 272Jan 272
Taming Python Installation with Pyenv for AI/ML and MLOps ProjectsTame your Python chaos! Learn how pyenv simplifies managing Python versions for AI/ML & MLOps, ensuring smooth, reproducible development.Oct 8, 2024Oct 8, 2024
Bromate: Automate Your Browser with Agentic Workflows 🧭The AI landscape is constantly evolving, pushing the boundaries of what’s possible with technology. One of the most exciting frontiers is…Sep 14, 2024Sep 14, 2024
MLOps Package Template: Turbocharge the Creation of AI/ML Projects ⚡The Cookiecutter MLOps Package offers a powerful code template to jumpstart your MLOps journey and accelerate your AI/ML development…Aug 5, 20242Aug 5, 20242
MLOps Coding Course: Mastering Observability for Reliable ML 💡This article dives deep into the essential tools and practices for achieving comprehensive observability in your AI/ML projects.Jul 28, 2024Jul 28, 2024
