Categories: AI/ML Research

Run a Local AI Model with Ollama in 15 Minutes

In this article, you will learn how to get a small language model running locally on your own machine in under 15 minutes using Ollama….

Scikit-Ollama for Scikit-LLM/Ollama Integration

In this article, you will learn how scikit-ollama bridges the scikit-learn interface with locally running Ollama models to perform zero-shot text classification; no cloud API...

July 16, 2026

In "AI/ML Research"

Using Quantized Models with Ollama for Application Development

Quantization is a frequently used strategy applied to production machine learning models, particularly large and complex ones, to make them lightweight by reducing the numerical precision of the model’s parameters (weights) — usually from 32-bit floating-point to lower representations like 8-bit integers.

May 30, 2025

In "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.

June 5, 2026

In "AI/ML Research"

AI Generated Robotic Content