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8:00 - Word2Vec: The First Embedding Model
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Classroom Contents
Introduction to Vector Embeddings and Weaviate - Part 1
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- 1 0:00 - What are Vectors and Vector Embeddings?
- 2 2:37 - Mathematical Properties of Vector Embeddings
- 3 4:42 - RGB Color Codes as Vectors
- 4 8:00 - Word2Vec: The First Embedding Model
- 5 12:59 - Transformer Models and the Attention Mechanism
- 6 17:55 - Choosing an Embedding Model
- 7 25:10 - Demo: Generating and Storing Embeddings in Weaviate
- 8 32:15 - Demo: Using OpenAI for Embeddings
- 9 36:56 - Comparing Open-Source vs. Closed-Source Models
- 10 39:06 - Case Study: Snowflake Arctic Embed 2.0
- 11 46:10 - Benchmarks and Model Performance Considerations
- 12 44:01 - Live Q&A Session
