Tag: LoRA

Jul, 16 2026

Data Augmentation for LLM Fine-Tuning: Synthetic and Human-in-the-Loop Approaches

Emily Fies

Learn how to boost LLM fine-tuning performance using synthetic data generation and human-in-the-loop strategies. Explore practical steps for data augmentation with LoRA and PEFT.

Mar, 12 2026

Parameter-Efficient Generative AI: LoRA, Adapters, and Prompt Tuning at Scale

Emily Fies

LoRA, adapters, and prompt tuning let you adapt massive AI models without retraining them fully. These methods cut costs by 90%+, making fine-tuning possible on consumer hardware. Learn how they work, how they compare, and which one to choose.

Mar, 2 2026

Benchmark Transfer After Fine-Tuning: How LLMs Keep Their General Skills When Learning New Tasks

Emily Fies

Fine-tuning LLMs for specific tasks can erase their general knowledge. Learn how benchmark transfer ensures models stay smart across all tasks - not just the one you trained them for.