How Human-in-the-Loop Annotation Strengthens Generative AI Systems
Generative AI systems have advanced rapidly, but their performance still depends heavily on the quality of the data used to train, fine-tune, and evaluate them. Large language models (LLMs) can process enormous volumes of information, identify patterns, and generate highly sophisticated responses. Yet they can also produce inaccurate, biased, irrelevant, or unsafe outputs when training signals...
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