LoRA

Vol. I No. 26 Saturday, October 17, 2026 Closing 12:53 PM UTC · next edition 10:00 AM UTC

Low-rank adaptation: a cheap way to fine-tune a large model by training a small set of extra weights instead of all of them.

In the news

vLLMOct 15, 2026News
Day 0 support for Muse Spark Open on vLLM
Cognitive Revolution · YouTubeOct 7, 2026Watch
Formal AI Safety & Risk Strategy + LoRA-Powered Work Agents
arXiv cs.LGOct 6, 2026Research
MemFLoRA: Memory-Floor LoRA for CNN Adaptation at the Edge
DiffusersOct 6, 2026Releases
Diffusers 0.41.0: QwenImage 2.1 pipeline and more
arXiv cs.LGOct 5, 2026Research
Frozen Factor or Spectral Band? Disentangling Two Choices in Low-Rank LoRA
arXiv cs.LGOct 1, 2026Research
Learn the Directions, Normalize the Gains: Post-Training Normalization for LoRA
arXiv (systems & security) cs.AISep 29, 2026Research
CF-LoRA: Decoupled Factor Aggregation and Adaptation-Aware Client Clustering for Federated LoRA Fine-Tuning
arXiv cs.LGSep 28, 2026Research
PReCache: Efficient KV Cache Sharing for Multi-LoRA Agents via Low-Rank Precomputation and Neutral Reconstruction
arXiv cs.LGSep 27, 2026Research
Optimizing the Phi-2 Small Language Model for Real-time Chatbot Applications Using Parameter-Efficient Fine-Tuning (PEFT) with QLoRA Quantization
arXiv cs.LGSep 25, 2026Research
New LoRA Skills Should Read but Never Write
OpenRouterSep 25, 2026New Models
New model: Jared Palmer: Kev 4B
PyTorch · YouTubeSep 24, 2026Watch
Tidal Auto-scaling for Training and Inference Based on Kubernetes + KEDA - Jun Zheng & Tan Pei Xiang
arXiv cs.CLSep 23, 2026Research
Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms
GitHub #generative-aiSep 17, 2026New Repos & Packages
inikolax/remiqora ( 120)