Video: Limits of AI benchmarks | Demis Hassabis and Lex Fridman. Remember the first time you watched a chatbot confidently explain a concept it clearly didn’t understand? It was a “wow” moment that quickly turned into a “wait, what?” nightmare.…

Video: Limits of AI benchmarks | Demis Hassabis and Lex Fridman. Remember the first time you trained a model only to watch it fail spectacularly on a task it “mastered” in the lab? You weren’t alone; we’ve all been there,…

Video: How to Evaluate Your ML Models Effectively? | Evaluation Metrics in Machine Learning! We’ve all been there: you deploy a model that scores a perfect 99% on the test set, only to watch it crumble in production like a…

Video: How to evaluate ML models | Evaluation metrics for machine learning. Imagine launching a state-of-the-art AI model only to watch your users bounce because it’s 200ms slower than your competitor’s. It’s a nightmare scenario that happens more often than…

Video: Don’t make these mistakes when benchmarking | 3 common benchmark pitfalls.      We once watched a team celebrate a “99% accurate” fraud detector, only to watch it lose $200k in a week because it had memorized the test…

Video: 10 Tips for Improving the Accuracy of your Machine Learning Models.      You’ve trained your model, tuned the hyperparameters, and watched the loss curve dip beautifully. You feel like a wizard. But then, three months later, your accuracy…

Video: How to evaluate ML models | Evaluation metrics for machine learning.     Can I use benchmarking to compare the performance of different machine learning algorithms? The short answer is a resounding yes, but the long answer is where…