Overview
Discover how to leverage vector search for creating highly targeted training in classification models with a final linear classification layer in this informative video tutorial. Learn to fine-tune models efficiently in just 10 minutes using less than 100 labeled examples. Explore the concepts of classification, vector search-based classification, and the fine-tuning process. Dive into a practical code implementation covering indexing, classifier fine-tuning, and making predictions. Gain insights on improving classifier training and identifying important samples for more effective model performance.
Syllabus
Intro
Classification
Better Classifier Training
Classification as Vector Search
How Fine-tuning Works
Identifying Important Samples
CODE IMPLEMENTATION
Indexing
Fine-tuning the Classifier
Classifier Predictions
Closing Notes
Taught by
James Briggs