ML Infrastructure
The HuggingFace Training Stack
A visual map of the full HuggingFace ecosystem — Transformers, Datasets, PEFT, Accelerate, and TRL — showing how each library fits together in a real fine-tuning pipeline.
Read guide →Visual, interactive deep-dives into ML concepts — built to make complex ideas stick. New guides published regularly.
A visual map of the full HuggingFace ecosystem — Transformers, Datasets, PEFT, Accelerate, and TRL — showing how each library fits together in a real fine-tuning pipeline.
Read guide →Why language models need GPUs, where memory goes during training and inference, and exactly what happens when it runs out — with an interactive OOM simulator.
Read guide →From full fine-tuning to LoRA and QLoRA — a comprehensive visual guide covering when to fine-tune, how to choose a strategy, and the key hyperparameters that matter most.
Read guide →Before understanding any ML algorithm — from linear regression to large language models — you need to understand what ML is actually trying to compute. Builds that foundation from first principles.
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