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Right now, as you read this email, my digital toll booth is wide open.

AI is out there finding the traffic; merit scholarships are filtering the builders; the matrix is automatically locking in the spots; and the system is triggering the paydays.

I don’t say this to brag, I say it because the exact same automated machine is sitting here waiting for you to plug into it.

You don't need prior technical skills; you just need to widen your lane so you're positioned to collect when the traffic flows.

Reply with "TRAFFIC" and I'll show you how we set it up.

Bradley Woods

Fine-Tuning Is Overrated. Learn When It Actually Matters.

Every engineer building with LLMs eventually hits the fine-tuning question. The answer is usually "not yet."

In this free online session, Gauntlet AI Lead Instructor Aaron Gallant breaks down fine-tuning, PEFT, and QLoRA – what they actually do, what they cost, and when they're worth reaching for over prompt engineering or better context.

You'll walk away understanding how to synthesize training data from frontier models, how parameter-efficient techniques let you train on a laptop, and why the real bottleneck is always the data, not the model.

If you've been curious about fine-tuning but aren't sure it's the right move for your use case, this is the session.

Live. Free. No upsell. Wednesday, June 3 at 5 PM CT. Register here.

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