Linear Algebra, AI, and Vector Databases

See the slides

Linear Algebra and AI

Following those slides, the recommended educational sequence is:

  1. What is a Vector? –
  2. Retrieval Augmented Generation (RAGs) – a use case for vectors –
  3. The core keywords from –
    1. Input, Model, Output
    2. Scalar, Vector, Matrix
    3. Vectrorization – Sparce Input Vector
    4. Dense Input Vector
    5. Vector Space
    6. Introduction to Vector Operations
  4. Continued introduction to Linear Algebra from:


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