The500Feed.Live
Everything going on in AI - updated daily from 500+ sources
📄 ResearchMay 20, 2026
ChunkFT: Byte-Streamed Optimization for Memory-Efficient Full Fine-Tuning
This work presents \textsc{ChunkFT}, a memory-efficient fine-tuning framework that reformulates full-parameter fine-tuning around a dynamically activated working set. \textsc{ChunkFT} enables gradient computation for arbitrary sub-tensors without modifying the network architecture, providing an algo...
Read Original Article →