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1
Intro
2
Classification
3
Better Classifier Training
4
Classification as Vector Search
5
How Fine-tuning Works
6
Identifying Important Samples
7
CODE IMPLEMENTATION
8
Indexing
9
Fine-tuning the Classifier
10
Classifier Predictions
11
Closing Notes
Description:
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.

GUI-Based Few Shot Classification Model Trainer - Demo

James Briggs
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