Free Lesson
AI for forecasting: foundations models, hype & best practice
60 min
May 26, 2025 11:00 AM
Virtual (Zoom)
In this video
What you'll learn
forecasting foundation models - what they are, what they do
Gentle introduction to foundation and pre-trained models. Zero-shot, few-shot, fine-tuning; open vs gated, etc
best practice - handling software, weights, deps, evaluation
special considerations and "FMops" for forecasting - FM handling (best) practice, key difficulties & solutions
... and what the vendors don't want you to know about
lock-in tactics, influencer propaganda, gated/closed models, licenses, full-value open alternatives
Why this topic matters
Get most out of AI and FM for forecasting - learn about capabilities, pitfalls, best practice, how to deploy and reliably test cutting edge models on your own data. Learn how to navigate a landscape that has only benchmark winning models - full of gated subscriptions, and 100s of (absolutely independent) influencers promoting one gated model, conformal prediction, or AI startups without a product.
You'll learn from
Franz Kiraly
Director, German Center of Open Source AI, and founder of sktime
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