OSCAR captures Q/K/V activations on a small calibration set, estimates attention-aware K/V covariance structures offline, and derives per-layer rotations + clipping thresholds that align KV ...

Recursive Agents implements a three-phase iterative refinement architecture where LLM agents (instances of Classes) critique and improve their own outputs. Unlike single-pass systems, each agent ...

Begin by setting up your Python environment. Ensure that you have Python installed, and consider using a virtual environment for project isolation. Familiarize yourself with essential libraries, such ...

Pruning optimises machine learning models by removing redundant or unimportant components. Originally introduced by Yann LeCun, pruning helps prevent overfitting in models. It serves as a compression ...