Tag: LLM adaptation

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

Secure Prompting for Vibe Coding: How to Ask for Safer Code

Secure Prompting for Vibe Coding: How to Ask for Safer Code

Oct, 2 2025

Error-Forward Debugging: How to Feed Stack Traces to LLMs for Faster Code Fixes

Error-Forward Debugging: How to Feed Stack Traces to LLMs for Faster Code Fixes

Jan, 17 2026

Architectural Innovations Powering Modern Generative AI Systems

Architectural Innovations Powering Modern Generative AI Systems

Jan, 26 2026

Why Multimodality Is the Future of Generative AI Beyond Text-Only Systems

Why Multimodality Is the Future of Generative AI Beyond Text-Only Systems

Nov, 15 2025

Backlog Hygiene for Vibe Coding: How to Manage Defects, Debt, and Enhancements

Backlog Hygiene for Vibe Coding: How to Manage Defects, Debt, and Enhancements

Jan, 31 2026