Traditional machine learning models for automatic information classification require retraining data for each task. Researchers at the University of Tsukuba have demonstrated that art data can be automatically classified with sufficient accuracy by using a large language model (LLM), without requiring additional training data.
Databricks raises capital at $134 billion valuation in latest funding round
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