natural language processing

4 articles · All tags

• Retrieval-Augmented Generation (RAG) Explained
  RAG gives a language model relevant documents at question time by searching a knowledge base first. Learn how it works, why it helps, and where it fails.
• Word Embeddings
  Dense vector representations of words learned from text, in which semantically similar words have similar vectors.
• The Transformer Architecture
  The attention-based architecture behind modern language models: self-attention, positional encoding, and why it replaced recurrence.
• Large Language Models
  Models trained on enormous text corpora that generate and understand language: how they work, what they can and cannot do.