Parameter Aggregation

New research explores efficient LLM alignment and federated fine-tuning

Researchers are developing new methods for efficient large language model (LLM) alignment and fine-tuning. One approach, P2D, uses task-sensitive attention heads to guide data selection and parameter pruning, achieving …