Gradient-based Parameter Selection

GD-FPS method offers efficient, gradient-free fine-tuning for AI models

Researchers have developed a new gradient-free method called Growth-Driven Feedforward Parameter Selection (GD-FPS) for efficient fine-tuning of large pre-trained models. This approach avoids the need for backward passe…