Tag: few-shot fine-tuning

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

Performance Budgets for Frontend Development: Set, Measure, Enforce

Performance Budgets for Frontend Development: Set, Measure, Enforce

Jan, 4 2026

E-Commerce Product Discovery with LLMs: How Semantic Matching Boosts Sales

E-Commerce Product Discovery with LLMs: How Semantic Matching Boosts Sales

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Reinforcement Learning from Prompts: How Iterative Refinement Boosts LLM Accuracy

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Enterprise Adoption, Governance, and Risk Management for Vibe Coding

Enterprise Adoption, Governance, and Risk Management for Vibe Coding

Dec, 16 2025

Few-Shot Fine-Tuning of Large Language Models: When Data Is Scarce

Few-Shot Fine-Tuning of Large Language Models: When Data Is Scarce

Feb, 9 2026