Gradient Descent Explained: How AI Adjusts Its Weights
Follow one gradient-descent update from prediction to lower loss, using a simple delivery-fee model and ordinary arithmetic.
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Understand the systems.
Build with clarity.
Exploring how AI works, how software gets built, and how digital payments move through the real world.
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Complex ideas.
Clear foundations.FIELD NOTES / 01
Clear foundations.FIELD NOTES / 01
Four ways in.
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01 / Topic
Offline Digital Payments
How money can move when a reliable internet connection is not available.
02 / TopicFintech & Payment Infrastructure
The systems, rails, and engineering decisions behind digital payments.
03 / TopicHow AI Works
Clear explanations of the ideas and mechanics behind artificial intelligence.
04 / TopicAI Software Development
Practical thinking on building software with AI and orchestrating intelligent tools.
From the notebook.
Latest writingHow AI Learns: Inputs, Weights, and Bias Explained Simply
A beginner-friendly guide to inputs, weights, bias and neural networks, using a simple delivery-fee example and four visual explanations.
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Hello, I'm Tayo.
I'm Temitayo Solomon Gbadebo, a software engineer and founder based in Abuja. This is where I explore AI, software development, and the infrastructure behind digital payments.
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