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 […]

Active Prompting with Chain-of-Thought: Revolutionizing Reasoning in Large Language Models

Superwise.ai. (n.d.). Active prompting diagram [Illustration]. In Making sense of prompt engineering. Superwise.ai Blog. https://superwise.ai/blog/making-sense-of-prompt-engineering/ Introduction Large language models (LLMs) like ChatGPT have transformed how we use artificial intelligence, excelling at tasks like writing essays, answering questions, and even holding conversations. But when it comes to complex reasoning—think solving math problems, tackling commonsense puzzles, or […]

Meta Prompting for AI Systems

A New Way to Teach AI How to Think, Not Just Respond This article is based on the paper Meta Prompting for AI Systems, published by Tsinghua University and Shanghai Qi Zhi Institute. Introduction The rapid advancement of Large Language Models (LLMs) has revolutionised artificial intelligence, enabling powerful text understanding and generation capabilities. However, despite […]

Program of Thoughts 

The Evolution of Numerical Reasoning in AI: The Power of Program of Thoughts (PoT) This article is based on the paper Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks by Wenhu Chen and others. Author Introduction Artificial Intelligence has made significant strides in solving complex numerical reasoning tasks. Traditional approaches focused […]

From Hallucination to Verification: Making AI Responses More Trustworthy

How Chain-of-Verification Creates More Reliable AI Systems This article explores and analyses the paper ‘Chain-of-Verification Reduces Hallucination in Large Language Models‘ by Shehzaad Dhuliawala and colleagues from Meta AI & ETH Zürich. The paper was published on arXiv in September 2023. Author Introduction As Large Language Models (LLMs) become increasingly integrated into our digital infrastructure, […]

Contrastive Chain of Thought

Enhancing LLMs to Think Like Humans This article is based on the paper Contrastive Chain-of-Thought Prompting by Yew Ken Chia and others. Introduction In recent years, Large Language Models (LLMs) have demonstrated remarkable performance across a variety of natural language processing tasks. However, their ability to perform complex reasoning remains a key challenge. Unlike humans, […]

The Ultimate FLUX.1 Hands-On Guide

Learn to Use FLUX.1: The Unlimited Image Generator Behind Elon Musk’s Grok 2 Author Introduction In this article, we will guide you step-by-step on how to use FLUX.1. The open-source community has welcomed a new text-to-image generation model, FLUX.1, following the releases of SD 3 Medium and Kolors. Developed by former core members of Stability […]

How to Run Llama 3.2 on Android Phone

A Step-by-Step Guide to Running Llama 3.2 and Other Large Models on Android Using Ollama Author Introduction At the recently concluded Meta Developer Conference, Llama 3.2 made a dazzling debut. This time, not only does it boast multimodal capabilities, but it has also partnered with companies like Arm to launch a “mobile” version optimised specifically for […]

Getting Started with Dify: No-Code AI Application Development

A Comprehensive Guide to Quick Start and Practical Implementation Author Introduction Dify is an open-source large language model (LLM) application development platform. It combines the concepts of Backend-as-a-Service and LLMOps to enable developers to quickly build production-grade generative AI applications. Even non-technical people can participate in the definition and data operations of AI applications. By […]