Magamed Taimeskhanov retweeted
Scaling laws have become a central part of how we think about scaling LLMs, but it’s not always easy to build intuition for why they work.
I made a tutorial on:
- scaling laws in practice: classic papers and recent developments
- an intuitive associative memory toy model, where scaling can be predicted from simple intuitions
- a hands-on environment for learning how to use scaling laws
I gave this tutorial at MLSS Tübingen last week, and thought the material was in a good enough shape to share!
x
nicolaszucchet.github.io/Tut…
Magamed Taimeskhanov retweeted
Now accepted at ICML 2026! Congrats to @MagamedTm
🧵 New preprint! "Towards Understanding Steering Strength" with @MagamedTm and D. Garreau
Activation steering is a popular way to control LLM behavior at inference. But how much should you steer? We provide the first theoretical analysis of the steering strength α.
1/7
Magamed Taimeskhanov retweeted
🧵 New preprint! "Towards Understanding Steering Strength" with @MagamedTm and D. Garreau
Activation steering is a popular way to control LLM behavior at inference. But how much should you steer? We provide the first theoretical analysis of the steering strength α.
1/7





