Mini Trainer implements Orthogonal Subspace Fine-Tuning (OSFT), a breakthrough continual learning technique that enables models to learn new tasks without catastrophic forgetting. OSFT uses adaptive ...
Kimi-K2-Mini is an experimental compressed version of the 1.07T parameter Kimi-K2 model, targeting ~32.5B parameters for more accessible deployment. This project explores several optimization ...
Abstract: Although the adoption of Low Code Development Platforms (LCDPs) promises significant improvements in the efficiency and effectiveness of application development, their adoption requires ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results