👉 The Target Fluid (TF) is a key performance metric in the context of Generative Pre-trained Transformers (GPTs) and other sequence-to-sequence models, particularly those used for tasks like text generation or translation. It measures the model's ability to generate text that closely matches a specified target sequence, which can be a sentence, paragraph, or any other structured output. The TF is calculated by comparing the generated output to the ground truth target sequence, typically using metrics like BLEU (Bilingual Evaluation Understudy) or ROUGE (Recall-Oriented Understudy for Gisting Evaluation). A high TF score indicates that the model produces text that is semantically and syntactically similar to the desired target, making it a crucial indicator of the model's performance in generating high-quality, contextually appropriate responses.
