Tag: LoRA

Few-shot fine-tuning lets you adapt large language models with as few as 50 examples, making AI usable in data-scarce fields like healthcare and law. Learn how LoRA and QLoRA make this possible-even on a single GPU.

Recent-posts

Preventing AI Dark Patterns: Ethical Design Checks for 2026

Preventing AI Dark Patterns: Ethical Design Checks for 2026

Feb, 6 2026

How to Choose Batch Sizes to Minimize Cost per Token in LLM Serving

How to Choose Batch Sizes to Minimize Cost per Token in LLM Serving

Jan, 24 2026

How Training Duration and Token Counts Affect LLM Generalization

How Training Duration and Token Counts Affect LLM Generalization

Dec, 17 2025

Interoperability Patterns to Abstract Large Language Model Providers

Interoperability Patterns to Abstract Large Language Model Providers

Jul, 22 2025

Training Data Poisoning Risks for Large Language Models and How to Mitigate Them

Training Data Poisoning Risks for Large Language Models and How to Mitigate Them

Jan, 18 2026