Why it matters
Fundamentals matter: data, evaluation, and failure modes are what keep AI projects from turning into demo-ware.
The tokenmaxxing angle
Run small experiments first, measure wins, then scale. Don’t burn tokens/compute before you can evaluate improvement.
From the organizers
The listing frames this as a event at Upcider focused on machine learning fundamentals.