Embeddings are one of the fundamental building blocks behind Large Language Models.
I built a simple model to generate image embeddings. This video will help you understand embeddings from first principles. I don’t use transformers or anything fancy. Instead, I build a simple Siamese Network step by step, and train it using contrastive loss.
Link to the code in the video: [ Ссылка ]
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