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Developing story · 2 episodes · 14 Oct to 21 Oct

Scikit-LLM Expands Machine Learning Integration

Scikit-LLM is expanding its capabilities to integrate large language models into standard machine learning workflows. The project now supports custom named entity recognition pipelines using free Groq models, following its initial release of few-shot text classification features.

  1. Scikit-LLM enables custom NER pipelines using free Groq models

    A new tutorial demonstrates how to build custom Named Entity Recognition (NER) pipelines using the Scikit-LLM library. The guide shows developers how to leverage Large Language Model (LLM) reasoning…

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  2. Scikit-LLM enables few-shot text classification with LLMs via scikit-learn

    Scikit-LLM is a Python library that lets developers use large language models (LLMs) for few-shot text classification through a scikit-learn interface. Unlike traditional machine learning workflows…

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