Abstract Algorithms

Topic

pytorch

2 articles across 2 sub-topics

Sub-topic

1 article

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 tr

Apr 18, 2026•30 min read

Sub-topic

Machine Learning

1 article

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

Apr 18, 2026•28 min read