analiza aiqbench

This article introduces a Python library that allows large language models to be used as estimators within the scikit-learn ecosystem, enabling seamless integration of LLM capabilities into traditional machine learning pipelines. By treating LLMs as standard estimators, developers can leverage existing tools for model selection, cross-validation, and ensemble methods without rewriting core logic. This development significantly lowers the barrier to combining classical ML workflows with generative AI models for practical applications.