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Weaviate on GCP: Stop Overcomplicating Your Vector Stack
I remember the bad old days. You probably do too. Back around 2023 or 2024, if you wanted a production-grade vector database, Learn about Weaviate News.
Qdrant Hybrid Cloud: Finally, SaaS That Keeps Legal Happy
The “Dave from Compliance” Problem I spent the better part of last November arguing with a compliance officer. Let’s call him Learn about Qdrant News.
YOLOv8 Exports to OpenVINO Are Finally Less of a Headache
I have a love-hate relationship with model deployment. Training is the fun part—watching those loss curves drop is satisfying Learn about OpenVINO News.
CoreWeave bought W&B: Why your compute provider wants your logs
I was in the middle of debugging a distributed training run that had crashed for the third time when the news dropped. Learn about Weights & Biases News.
I Built a News Agent to Fix My Morning Routine
I have a problem. Every morning, I sit down with my coffee and open about forty tabs. Hacker News, Twitter (or whatever we’re Learn about Streamlit News.
Azure ML Security: It’s Not Magic, It’s Just Someone Else’s Computer
I had a conversation last week with a Data Science lead that nearly made me choke on my coffee. We were reviewing Learn about Azure Machine Learning News.
Milvus in Production: The Architecture That Actually Scales
Most developers treat vector databases like a fancy hash map. They spin up a Docker container, throw in a few thousand embeddings Learn about Milvus News.
Taming the LLM Chaos: My Real-World MLflow Setup
I still remember the exact moment I realized my “custom” MLOps setup was a disaster waiting to happen. It was 2:00 AM on a Learn about MLflow News.
Why Your Prompts Are Failing in Kaggle Competitions
I remember staring at the leaderboard of the “LLM Science Exam” competition a few years ago, completely baffled. My model had a Learn about Kaggle News.
Why I Finally Embraced MLflow 2.0 for Production Pipelines
I still have nightmares about a specific deployment from three years ago. It was a Friday afternoon (classic mistake), and I was Learn about MLflow News.