Embedding vs Fine-Tuning

Embeddings vs Fine-Tuning: Choosing the Right Lever for Real-World AI Embeddings vs Fine-Tuning Choosing the Right Lever for Real-World AI At some point in every AI project, the same question…

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How Foundational Models are Built

Pretrained Foundational models like GPT aren’t derived from one neat formula. Instead, they start with a Transformer initialized with random weights. Through backpropagation and optimizers like Adam, those weights are…

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