Curriculum Learning

topic on 2 shows · 3 statements across 3 episodes

Latent Space 20VC

3 statements about Curriculum Learning, every show

Curriculum learning enables multi-physics AI fine-tuning with significantly fewer samples
“And now there's coupling, like because of heat, there's also stretching or kind of the joint phenomena. You could like now hope to fine tune with much fewer samples because it kind of individually knows this phenomena. Then combining them together, maybe it ca…”
Anima Anandkumar Aug 26, 2026 ▶ 1:15:09 🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech
20VC Assertion Partly supported
Aidan Gomez: Curriculum learning has failed in machine learning
“What's funny is that curriculum learning has actually failed in machine learning. We don't really do curriculum learning. It's just throw the hardest material and the easiest material all at the same time and let the model figure it out.”
Aidan Gomez Aug 19, 2024 ▶ 4:09 Aidan Gomez: What No One Understands About Foundation Models | E1191 · 20VC with Harry Stebbings
LATENT SPACE Assertion Supported
Huang: Curriculum context expansion outperforms full-length training from scratch
“If you train a model on a shorter context and you progressively increase that context to, like, You know, the final limit that you have, like, 32 K is usually the limit of Lama two was that long. It actually performs better than if you try to train 32 K the …”
Mark Huang May 31, 2024 ▶ 15:39 How to train a Million Context LLM — with Mark Huang of Gradient.ai

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