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Uncluttered Notation for Encoder-Classifier Models

To simplify mathematical expressions, the complete two-stage process of a text classification model is often represented using the uncluttered shorthand Fω,θ^()F_{\omega,\hat{\theta}}(\cdot). This compact notation serves as a direct substitute for the expanded formula Classifyω(Encodeθ^())\mathrm{Classify}_{\omega}(\mathrm{Encode}_{\hat{\theta}}(\cdot)), efficiently representing a function defined by both the classifier's parameters, ω\omega, and the encoder's parameters, θ^\hat{\theta}.

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Updated 2026-04-14

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Ch.1 Pre-training - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

Computing Sciences

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