How to Use FLUX 1.1 Online for Free: A Tutorial on Generating Ultra Realistic Images and Editing Tools

A Step-by-Step Guide to Using FLUX 1.1, FLUX Fill, Canny, Redux Tools, and Camera Filename Prompt Techniques for Creating or Editing Images in Any Style and Realism Author Introduction to FLUX 1.1 On October 4, 2024, Black Forest Labs launched the latest image generation model, FLUX 1.1 [pro], along with the BFL API, offering advanced […]
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 […]
Llama 3.1 405B vs GPT-4o: Which model is better?

Evaluating Llama 3.1–405B and GPT-4o Across Key Performance Metrics to Determine the Superior AI Model for Users and Developers. Author Introduction To compare the strengths and intelligence of Llama-3.1–405B and GPT-4o from a practical usage perspective, this article designed test cases covering five scenarios: mathematics, coding, tool usage, JSON extraction, and creative writing. We conducted […]
Brief Introduction to the History of Large Language Models (LLMs)

Understanding the Evolutionary Journey of LLMs Author Introduction When we talk about large language models (LLMs), we are actually referring to a type of advanced software that can communicate in a human-like manner. These models have the amazing ability to understand complex contexts and generate content that is coherent and has a human feel. If […]
The Journey of Large Language Models: Evolution, Application, and Limitations

Unlocking the Future of AI: The Transformative Journey of Large Language Models Author · Vaibhav Khobragade (ORCID: 0009–0009–8807–5982) Introduction Human language development is innate and evolves throughout life. Machines lack this ability to evolve without advanced artificial intelligence (AI) algorithms. Since the Turing Test was proposed in the 1950s, efforts to master machine understanding of language […]
Using Google Colab to run LLM Models

A step-by-step tutorial In the field of Artificial Intelligence, large language models (LLMs) are transforming the landscape of what machines can achieve. These sophisticated models excel at tasks like summarising text, generating human-like content, translating languages, and answering complex questions. However, the computational resources required to run such models can be prohibitive for many individuals […]
How to Use OpenAI Assistants API to Build Your Own Custom ChatGPT

A Step-by-Step Guide to Creating Versatile AI Assistants Using OpenAI’s Assistants API Author Introduction The Assistants API is a powerful new offering that enables developers to integrate AI assistants directly into their applications. These assistants are designed to handle a wide range of user queries by utilising models, tools, and files. The API currently supports […]
How to use Flowise locally

A Comprehensive Guide Introduction Flowise is an open-source, low-code tool tailored for developers to build customised orchestration flows and AI agents for Large Language Models (LLMs). It simplifies the development cycle, enabling quick iterations and a smooth transition from testing to production. In this article, we will explore the primary use cases for Flowise. Get […]
What is Phi-3.5-vision?

Explained with Working Examples Introduction The field of artificial intelligence has taken another significant leap forward with the introduction of Phi-3.5-vision, a cutting-edge multimodal AI model developed by Microsoft. This lightweight yet powerful model represents a new frontier in machine learning, combining advanced natural language processing capabilities with sophisticated image understanding. Phi-3.5-vision stands out for […]
Automated Knowledge Graph Construction with Large Language Models

Harvesting the Power and Knowledge of Large Language Models Author Introduction Knowledge Graphs are networks that represent data in a graphical format. The beauty of Knowledge Graphs lies in their representation of concepts, events and entities as nodes, and the relationships between them as edges. These relationships determine the context of the node, and consequently, allow for […]