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!1d ago631d ago63
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 15571Feb 15571
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 75Feb 75
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 3046Jan 3046
Poetry Was Good, Uv Is Better: An MLOps Migration StoryPoetry to Uv: A faster, simpler way to manage dependencies for MLOps projectsJan 271901Jan 271901
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, 20242Oct 8, 20242
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, 20245Sep 14, 20245
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, 2024312Aug 5, 2024312
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, 20245Jul 28, 20245
MLOps Coding Course: Bridging the gap between Data Scientists and Machine Learning EngineersThe MLOps Coding Course is an open-source resource specifically designed to bridge the gap between data science and software engineering.May 28, 202413May 28, 202413
Make your MLOps code base SOLID with Pydantic and Python’s ABCMLOps projects are straightforward to initiate, but challenging to perfect. While AI/ML projects often start with a notebook for…Mar 13, 2024Mar 13, 2024
Become the maestro of your MLOps abstractionsThe MLOps ecosystem is evolving into a sophisticated symphony, composed of diverse tools, methodologies, and cultures. This diversity…Jan 30, 20241Jan 30, 20241
How to configure VS Code for AI, ML and MLOps development in Python 🛠️️Visual Studio Code is a remarkable application. In the past, developers faced a choice between simple, lightweight text editors like Vim…Nov 23, 20231Nov 23, 20231
Forging a Personal Chatbot with OpenAI API, Chroma DB, HuggingFace Spaces, and Gradio 🔥If you have checked the Internet in 2023, you’re likely familiar with Generative AI. The launch of ChatGPT has sparked a surge in interest…Oct 24, 2023Oct 24, 2023
Finding Harmony in MLOps: Balancing Functional and Object-Oriented Approaches ☯Programmers have always been passionate about their preferences, whether they discuss spaces vs. tabs, Vim vs. Emacs, or light mode vs…Jul 31, 2023Jul 31, 2023
Is AI/ML Monitoring just Data Engineering? 🤔While the future of machine learning and MLOps is being debated, practitioners still need to attend to their machine learning models in…Jul 15, 2023Jul 15, 2023
A great MLOps project should start with a good Python Package 🐍MLOps practitioners (rightfully) point out that running notebooks in production is a bad software practice, but what are the alternatives…Jun 24, 2023Jun 24, 2023
Fixing the MLOps Survey on LLMs with ChatGPT API: Lessons LearnedLarge Language Model (LLM) is such an existing topic. Since the release of ChatGPT, we saw a surge of innovation ranging from education…May 8, 2023May 8, 2023
We need POSIX for MLOpsThere is an ever-growing landscape of tools and solutions for MLOps. In this article, I propose a solution to address this challenge.Apr 17, 2023Apr 17, 2023
How to install Kubeflow Pipelines v2 on Apple SiliconKubeflow Pipelines (KFP) is a powerful platform for building machine learning pipelines at scale with KubernetesSep 24, 20222Sep 24, 20222
![[Demo] XGBBoost — Iterative model training pipeline](https://miro.medium.com/v2/resize:fill:80:53/1*5LppDrLvk2zyq1ILs4PitQ.png)
![[Demo] XGBBoost — Iterative model training pipeline](https://miro.medium.com/v2/resize:fill:160:107/1*5LppDrLvk2zyq1ILs4PitQ.png)
