How to install n8n and create an LLM pipeline using Ollama & Docker
Tutorial for Windows Users This image is generated by the author using ChatGPT 4o [https://chatgpt.com/share/681056e3-9f28-800c-be8a-d8e98543d391]. Author: Immanuel Alvaro Bhirawa ORCID ID: 0009-0009-3354-7794 Introduction Large language models (LLMs) are transforming the way we engage with technology, delivering remarkable capabilities in natural language understanding and generation. However, incorporating these models into your projects can feel overwhelming due […]
How to run Ollama on Windows
Getting Started with Ollama: A Step-by-Step Guide Author Introduction In today’s technological landscape, Large Language Models (LLMs) have become indispensable tools, capable of exhibiting human-level performance across various tasks, from text generation to code writing and language translation. However, deploying and running these models typically require substantial resources and expertise, especially in local environments. This […]
How to use Large Language Models to tag your data: A complete tutorial
Using Mistral for Data tagging Author · Xuzeng He (ORCID: 0009–0005–7317–7426) Introduction Data tagging, in simple terms, is the process of assigning labels or tags to your data so that they are easier to retrieve or analyse. For example, when you are dealing with a database consisting of scientific journals, you may want to tag these […]
Running Mistral Models with Hugging Face or Ollama
A Step-by-Step Guide to try Mistral models Introduction Mistral is an open-source large language model (LLM) series developed by Mistral AI, designed to assist with various natural language processing (NLP) tasks. Mistral is renowned for its transparent, portable, customisable, user-friendly, and cost-effective models, which require less computational power when used on local systems. Several versions […]