Teaching AI Models: Gradient Descent
Post 1b/N In the last post, we established the big idea: machine learning is about finding patterns from data instead of writing rules by hand. But we skipped a critical question — how does the machine actually find the patterns? When someone says…
Read MoreNeedle in the Haystack: Embedding Training and Context Rot
Post 2c/N You’ve probably experienced this: you paste a 50-page document into ChatGPT or Claude, ask a specific question about something buried on page 37, and the model either ignores it, gives a vague answer, or confidently cites something from…
Read MoreAn Intuitive Guide to CNNs and RNNs
When your phone recognizes “Hey Siri,” a CNN is probably listening. When Google Translate converts your sentence into French, an RNN (or its descendants) is doing the heavy lifting. Both are neural networks, but they’re built for fundamentally different…
Read MoreHow CNNs Actually Work
In the ever-evolving world, the art of forging genuine connections remains timeless. Whether it’s with colleagues, clients, or partners, establishing a genuine rapport paves the way for collaborative success.
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