Tagged
Embeddings
Recommendation Systems (3): Deep Learning Foundations
From MLPs to embeddings to NeuMF, YouTube DNN, and Wide & Deep -- a progressive walkthrough of the deep learning building blocks that power every modern recommender, with verified architectures and runnable PyTorch code.
NLP (10): RAG and Knowledge Enhancement Systems
Build production-grade RAG systems from first principles: the retrieve-then-generate decomposition, vector indexes (FAISS / Milvus / Chroma / Weaviate / Pinecone), dense+sparse hybrid retrieval with RRF, cross-encoder …