Categories: AI/ML Research

Using Scikit-LLM with Open-Source LLMs

This article will teach you how to perform a language task like text classification by integrating locally hosted large language models (LLMs) of manageable size, like Mistral, Gemma, and Llama 3: all for free thanks to Ollama — a free repository for local LLMs — and the Scikit-LLM Python library.

Scikit-LLM vs. Traditional Text Classifiers: When Should You Use an LLM?

In recent years, generative AI models like LLMs (large language models) have gradually taken over classical machine learning ones for addressing certain tasks, for instance, text classification .

June 3, 2026

In "AI/ML Research"

Zero-Shot and Few-Shot Classification with Scikit-LLM

In this article, you will learn: • how Scikit-LLM integrates large language models like OpenAI's GPT with the Scikit-learn framework for text analysis.

July 23, 2025

In "AI/ML Research"

Feature Engineering with LLM Embeddings: Enhancing Scikit-learn Models

Large language model embeddings, or LLM embeddings, are a powerful approach to capturing semantically rich information in text and utilizing it to leverage other machine learning models — like those trained using Scikit-learn — in tasks that require deep contextual understanding of text, such as intent recognition or sentiment analysis.

July 18, 2025

In "AI/ML Research"

AI Generated Robotic Content