Abstract Algorithms

Category

pytorch

2 articles across 2 sub-topics

Fine-Tuning LLMs: The Complete Engineer's Guide to SFT, LoRA, and RLHF

Fine-Tuning LLMs: The Complete Engineer's Guide to SFT, LoRA, and RLHF

TLDR: A pretrained LLM is a generalist. Fine-tuning makes it a specialist. Supervised Fine-Tuning (SFT) teaches it your domain's language through labeled examples. LoRA does the same with 99% fewer trainable parameters. RLHF shapes its behavior using...

Apr 18, 2026•30 min read

Deep Learning(1)

Transfer Learning Explained: Standing on the Shoulders of Pretrained Models

Transfer Learning Explained: Standing on the Shoulders of Pretrained Models

TLDR: You don't need millions of labeled images or months of GPU time to build a great model. Transfer learning lets you borrow a pretrained network's hard-won feature detectors, plug in a new output head, and fine-tune on your small dataset — often ...

Apr 18, 2026•27 min read