Completed
[] Closing Remarks
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Binary Quantization Methods for Vector Database Optimization
Automatically move to the next video in the Classroom when playback concludes
- 1 [] Introduction and Welcome
- 2 [] Discussion on the Need for Quantization
- 3 [] Challenges of Traditional Vector Indexing
- 4 [] Compensating for Data Growth with Quantization
- 5 [] Overcoming the Challenges with Oversampling
- 6 [] Compatibility of Different Models with Binary Quantization
- 7 [] Benefits and Speed of Binary Quantization
- 8 [] Comparison of Dot Product and Hamming Distance
- 9 [] Implementing Binary Quantization
- 10 [] Closing Remarks
