Beginner5 min
What Is a Neural Network, Really?
Strip away the hype and a neural network is a surprisingly simple idea repeated at scale. Here's the intuition in five minutes.
FundamentalsNov 2
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Level
Depth
Topic
8 articles
Beginner6 min
Gradient Descent, Explained Without the Math Panic
How does a model actually learn? It rolls downhill. We unpack the single most important idea in training models.
TrainingNov 9
Intermediate14 min
Attention, in Plain Language
Transformers power almost everything in modern AI. The mechanism behind them is more intuitive than the paper makes it sound.
ArchitecturesNov 18
Intermediate11 min
Overfitting and How to Beat It
Your model aces training and flunks reality. Here's why that happens and the practical toolkit to fix it.
TrainingNov 24
Advanced16 min
CNNs: How Machines Learn to See
Convolutions sound complicated and look like magic. We break down exactly how a network turns pixels into understanding.
ArchitecturesDec 1
Beginner7 min
Prompting Patterns That Actually Work
A field guide to the handful of prompt structures that reliably get better answers out of large language models.
LLMsDec 8
Intermediate8 min
How to Evaluate a Model Honestly
Accuracy can lie. Learn the metrics and habits that tell you whether a model is genuinely good or just lucky.
FundamentalsDec 15
Advanced12 min
Fine-Tuning vs. Prompting: When to Use Which
Two ways to adapt a model to your problem, with very different costs. A practical decision guide.
LLMsDec 22