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I've been working on training custom language models and wondering about the most effective strategies for data preprocessing and hyperparameter tuning...
Just finished building a real-time object detection system using YOLOv8. Here's a breakdown of the architecture and performance metrics...
Recent discussions around AI bias have made me think about practical ways to implement fairness in our ML pipelines. What strategies have worked for you?
After 5 years as a software engineer, I'm making the transition to ML engineering. Here's what I've learned so far and what resources helped me most...
I've been testing different language models for my research project. Here's a detailed comparison of their performance across various tasks...