Discover how vector embeddings power your favorite apps, from Netflix recommendations to advanced AI models! In this video, we’ll break down:
• What vector embeddings are and how they work
• How to create embeddings from scratch (including a 3D visualization with Python code, here: https://drive.google.com/file/d/12sOZ30Ze8NEoP4hKurSBxnp-zNVt7GWZ/view?usp=sharing)
• The role of vector databases in AI
🌟***OTHER VIDEOS YOU MIGHT ENJOY***🌟
• Fine-tuning vs. RAG: https://youtu.be/L7PfLk4a2oY
• Build your own chatbot (using RAG) with Amazon Bedrock and Lex: https://youtu.be/4esqnMlMo8I
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– AWS Certified Solutions Architect Associate: https://academy.zerotomastery.io/a/aff_464yrtnn/external?affcode=441520_lm7gzk-d
🌟***TIMESTAMPS***🌟
00:00 – How vector embeddings make you binge Netflix
00:27 – What is a vector embedding?
01:13 – Vectors vs. embeddings
02:56 – How are embeddings created?
03:44 – Creating an embedding from scratch
04:08 – Identifying dimensions for an embedding model
05:13 – Python code to create a 3D visualization of vector embeddings
07:08 – What is a vector database?
07:39 – An example of using vector embeddings and vector databases
