What is Semantic Search?
This video is part of LLM University https://docs.cohere.com/docs/what-is-... Semantic search is a very effective way to search documents with a query. In this article, you’ll learn how to use embeddings and similarity in order to build a semantic search model. Bio: Luis Serrano is the lead of developer relations at Co:here. Previously he has been a research scientist and an educator in machine learning and quantum computing. Luis did his PhD in mathematics at the University of Michigan, before embarking to Silicon Valley to work at several companies like Google and Apple. Luis is the author of the Amazon best-seller "Grokking Machine Learning", where he explains machine learning in a clear and concise way, and he is the creator of the educational YouTube channel "Serrano.Academy", with over 100K subscribers and 5M views. === Resources: Blog post: https://txt.cohere.com/what-is-semant... Learn more: / luisserrano

What is a Vector Database? Powering Semantic Search & AI Applications

What are Transformer Models and How do they Work?

Attention in transformers, step-by-step | Deep Learning Chapter 6

Semantic Search: A Deep Dive Into Vector Databases (with Zain Hasan)

What Are Word and Sentence Embeddings?

Beyond Keywords: A Hands-on Guide to Modern Semantic Search Techniques

Text Embeddings, Classification, and Semantic Search (w/ Python Code)

Is RAG Still Needed? Choosing the Best Approach for LLMs

RAG, semantic search, embedding, vector... Find out what the terms used with Generative AI mean!

Learn Text Embeddings in 20 Minutes (full guide for beginners)

RAG Crash Course for Beginners

Why Inference is hard..

What is Similarity Between Sentences?

RAG Explained For Beginners

Yann LeCun: World Models: Enabling the next AI revolution

What is Attention in Language Models?

Train Your Brain to Never Forget (5 Feynman Habits)

6. Monte Carlo Simulation

Mathematics of LLMs in Everyday Language

