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Harper Carroll AI

AI Explanations & Weekly AI News.⚡️~10 years building AI & Machine Learning at Meta, Stanford, Facebook // Former Founding Eng → Head of AI/ML at NVIDIA-acquired company

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Neural Networks ExplAIned, pt. 1

How does the math underlying neural networks actually work? We walk through an example. You'll come away feeling empowered!

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The 3 ways AI learns - Stanford engineer explains

Learn AI fundamentals in just 2 minutes.

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Coachella photo/video dump - plus, the future of tech

Featuring Ray-Ban Metas

What's New in AI? April 2-8

Altman's New Yorker reckoning // Anthropic's secret bug-hunter // $30B and climbing // robot taxes are coming // & more

More Details on Anthropic’s Leaked Code — PART 1

Anthropic accidentally exposed Claude Code’s agentic source code, and here's what we can learn from it.

The Mechanics of Training AI Models

10 Days of AI Basics, Day 5: Training Processes – epochs, batches, iterations, & validation. The loop visualized.

AI Basics Day 4: Model Training

How the model learns.

10 Days of AI Basics, Day 3: Model Architecture

This is where neural networks come in.

10 Days of AI Basics, Day 2: Data

“Garbage in, garbage out.” It’s the golden rule of Machine Learning, and for a good reason: Data is the lifeblood of AI.

10 Days of AI Basics, Day 1: AI vs. Machine Learning - What's the Difference?

If you feel like "AI" and "Machine Learning" are being thrown around interchangeably, you’re not alone. But while they are related, they aren't the same.

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