LoRA - SkrewAI

LoRA

Study Finds Vanilla LoRA Matches Complex Variants With Proper Tun

New research reveals that standard LoRA fine-tuning can achieve performance comparable to sophisticated variants when learning rates are properly optimized, challenging assumptions about adapter complexity.

LoRA

LoRA Fine-Tuning: Run Massive AI Models on Consumer Hardware

Learn how Low-Rank Adaptation lets you customize billion-parameter AI models on standard laptops—the same technique powering custom deepfakes and AI video generation.

LLM Architecture

MoE-LoRA Framework Advances Multi-Task LLM Specialization

New research combines Mixture-of-Experts with Low-Rank Adaptation to create specialized AI models that maintain generalist capabilities while excelling at domain-specific tasks.

LLM

Master LLM Fine-Tuning: LoRA, QLoRA, and PEFT Explained

A comprehensive guide to fine-tuning large language models using parameter-efficient techniques like LoRA and QLoRA, from fundamentals to production deployment.