Sebastian Raschka • 4/20/2024

Using and Finetuning Pretrained Transformers

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This article details the three primary methods for utilizing and finetuning pretrained large language models: a feature-based approach using embeddings, in-context prompting, and updating a subset of model parameters. It provides a technical overview for developers working with transformers like BERT and GPT for tasks such as classification.

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#Machine Learning #large language models #ai
Using and Finetuning Pretrained Transformers

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