# 7 Key Insights on the Self-Attention Mechanism in AI Magic
5 min read
How self-attention works in Transformers: the origin of the attention mechanism, how relevance scores link words, real-world uses and its limitations.
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# Why is the Transformer Model Called an "AI Revolution"?
5 min read
Hello, and welcome to the first edition of Daily AI Insight, a series dedicated to unraveling the fascinating world of artificial intelligence, one bite-sized topic at a time.
# Instantly Remove Duplicate Photos With A Handy Script
5 min read
Thanksgiving usually brings memories of food, family, and laughter. For me, this year added an unexpected twist: cleaning up a massive library of duplicate photos stored on my WD NAS. What started as…
# Honored to Pass AI-102!
5 min read
So, I did a thing. I earned my first Microsoft certificate: Azure AI Engineer Associate! 🎉
# Install Azure-Cli on Mac
2 min read
Fixing azure-cli install failures on macOS: the Homebrew OpenSSL and Python permission errors I hit, and the chown and brew unlink commands that worked.
# Overfitting! Unlocking the Last Key Concept in Supervised Machine Learning – Day 11, 12
2 min read
Days 11-12 of Andrew Ng's Supervised Machine Learning course: overfitting vs underfitting, and fixing them with more data, simpler models or regularization.
# Grinding Through Logistic regression: Exploring Supervised Machine Learning – Day 10
2 min read
Today is mainly learning about “Decision boundary”, “Cost function of logistic regresion”, “Logistic loss” and “Gradient Descent Implementation for logistic regression”.
# Master Gradient Descent and Binary Classification: Supervised Machine Learning – Day 9
2 min read
Oh boy… I was sick for almost two weeks 🤒 After a brief break, I’m back to dive deep into machine learning, and today, we’ll revisit one of the core concepts in training models—gradient descent.…