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How Soft Prompting Works: Tokenization to Task-Specific Output

2/ How Soft Prompting Works Tokenization: Inputs are broken into smaller tokens. Vectorization: Tokens are converted into numerical vectors. Fine Tuning: Vectors adjust behavior without modifying model weights. Output: Task-specific responses tailored to your needs.

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