⚙️ Fine-tuning

Hugging Face's flagship LLM course (formerly the NLP Course), expanded with new chapters on fine-tuning LLMs and building reasoning models. Free, code-along, certificate available. {description}

Cohere's free LLM University — text embeddings, classification, generation, RAG. {description}

Pinecone's free learning center on vector search, embeddings, RAG — high-quality production guides. {description}

Kaggle's collection of free LLM fine-tuning notebooks for classification — practical hands-on. {description}

Hugging Face's official channel — workshops on transformers, fine-tuning, agents, multimodal. {description}

Stanford's deep dive into building LLMs end-to-end — tokenization, architecture, training, alignment. {description}

Practical fine-tuning of LLMs — when to fine-tune, how to prepare data, and how to evaluate results. {description}

Community-driven collection of practical recipes for building with open-source AI — RAG, agents, fine-tuning, evaluation. {description}

Hugging Face's practical course on fine-tuning and aligning small LLMs — instruction tuning, DPO, evaluation. {description}

Hugging Face's flagship free course on NLP and transformers — from basics to fine-tuning your own models. {description}