This talk presents an introduction to fundamental machine learning concepts in the context of semantic search.
Given the rapid increase of interest in artificial intelligence in the last year, driven by many “generative transformer” technologies, it’s often hard to understand the foundational principles behind these advanced systems, especially for people not familiar with the mathematical theory.
We’ll use Ferdinand de Saussure’s theory of language as a starting point to gain a better understanding of these fundamental concepts, such as word embeddings, vectors, semantic similarity or multi-modal search, demystifying their “magic” without using complicated jargon or complex formulas.
What do you need to know to enjoy this talk
You can write basic scripts.
About the topic
No previous knowledge of the topic is required, basic concepts will be explained.