What is Qwen2.5-MAX: A Practical Exploration And Personal Experience
Author: Yao Chen (ORCID:0009-0007-1385-3343) Introduction This article presents my hands-on experience with Qwen2.5-MAX, an advanced open-source large language model developed by Alibaba. I set up and explored this model on my personal computer to evaluate its capabilities against GPT-4.5, a recognized leader in AI technology. Through practical tests involving diverse prompts, this exploration provides insights […]
LLM-Graph-Builder
LLM-Graph-Builder: Converting Data into a Knowledge Graph Source: DALLE-3 Author Introduction Creating structured graphs out of unstructured text can be both exciting and challenging. At its core, you’re transforming free-form sentences into connected entities and relationships—effectively turning text into a network of information that’s much easier to analyse and query. This concept of extracting knowledge […]
Developing a REST API in Python and Flask Using Cursor Editor and AI
Created using DALL.E on 17 March 2025 Introduction REST APIs are essential for modern web applications, enabling seamless communication between frontend and backend services. Building them from scratch can be time-consuming, but with the right tools, we can streamline the process. This is where Cursor Editor comes in. Cursor is a code editor similar to […]
How to install n8n on Mac and create an LLM pipeline using GPT API
Author Introduction In this comprehensive guide, we will walk through creating an intelligent AI calendar assistant which will combine n8n’s workflow automation with OpenAI’s powerful GPT models. The best part? We’ll be running everything locally on your Mac, with full control over your data and no monthly subscription fees. n8n stands for “nodemation” and is […]
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 […]
Exploring Machine Common Sense
The Key to Achieving Artificial Intelligence Author: Yao Chen (ORCID:0009-0007-1385-3343) This article is based on the paper “Can AI have common sense? Finding out will be key to achieving machine intelligence” Introduction As artificial intelligence (AI) continues to evolve, one of the most interesting challenges researchers face is determining whether machines can possess something like human […]
What is Llama 4?
A Deep Dive into Meta’s Latest AI Breakthrough Author: Yao Chen (ORCID:0009-0007-1385-3343) Introduction In April 2025, Meta AI released Llama 4, the latest iteration of its open-weight large language model (LLM) family. Building on the success of its predecessors, Llama 4 introduces groundbreaking features like native multimodal capabilities, an innovative Mixture of Experts (MoE) architecture, […]
ROR: Mapping Research Organisation IDs
Understanding How the Research Organisation Registry is Used Across the Web Created using DALL.E on 2 March 2025 Author Introduction In today’s digital research landscape, finding, accessing, and connecting scholarly information has become increasingly complex. How do we reliably identify research outputs, the people who create them, and the organisations where this work takes place? […]
The 30-Minute Guide to Your First AI Application: Dify.ai + Ollama/chatGPT on Mac
How to create a functional documentation assistant without writing code Introduction Large Language Models (LLMs) have transformed how we build intelligent applications, but implementing production-ready AI systems often requires navigating complex infrastructure, managing model deployments, and building custom interfaces. Many developers face a challenging choice: use simple but limiting no-code platforms that hide the complexity, […]
Dynamic Knowledge Graphs: A Next Step For Data Representation?
Integrating temporal data into static knowledge graphs Introduction Knowledge graphs (KGs) have proven to be an effective method of data representation that is increasingly popular. In KGs, entities and concepts are represented as nodes, while the relationships between nodes are depicted as edges. Thus, KGs can effectively capture the semantic meanings of nodes. For instance, Google’s […]