Tagged
Large Language Models
Recommendation Systems (12): Large Language Models and Recommendation
How LLMs reshape recommendation: enhancers (P5, M6Rec), predictors (TallRec, GenRec), and agents (LlamaRec, ChatREC). Hybrid pipelines, cold-start wins, prompt design, and the cost/quality Pareto frontier.
Essence of Linear Algebra (18): Frontiers and Summary
Series finale: quantum gates as unitary matrices, graph convolution as Laplacian filtering, attention as soft retrieval, LoRA as low-rank adaptation, tensor networks, the matrix exponential, free probability, and a …