Introduction Object detection is a crucial task in computer vision, used in applications like autonomous driving, security systems, and medical imaging. Traditional methods for detecting objects in images involve multiple steps and complex pipelines, which can be challenging to manage and optimise. DETR (Detection Transformer) , developed by Facebook AI, simplifies this process by using a single, end-to-end model.

Introduction GitHub Copilot is not just a technological advancement; it represents a paradigm shift in software development. Developed by GitHub in collaboration with OpenAI, Copilot functions as an intelligent coding assistant that offers real-time suggestions and solutions, enabling developers to enhance productivity and explore new programming frontiers.

Introduction Large Language Models (LLMs) have been rapidly adopted across various scenarios due to their versatile capabilities. However, issues such as privacy and security have often been overlooked. For instance, most LLMs require an internet connection to process data, which can expose user information to potential security risks.

Introduction Artificial Intelligence (AI) has broken into our lives causing the new industrial revolution in the digital space.

Introduction Over the past decade, generative models have advanced significantly. Initially capable of simple tasks like generating digits (0–9), they have progressed to sophisticated capabilities, such as creating a wide range of realistic images of humans and animals, and imaginative depictions like hybrid human-animal forms and beyond.

Introduction As Large Language Models (LLMs) are getting more popular than ever these days, there is a rising trend among developers to use Large Language Models to assist their daily code writing. Famous products include GitHub Copilot or simply ChatGPT.

An Introduction to End-to-End Retrieval-Augmented Generation

Introduction Humans are different from other animals because we make and use tools to help us do specific jobs and understand things better. When solving complex real-world challenges, we use a diverse set of tools because problems rarely depend on a single area of expertise.

Introduction The sizes of large language models (LLMs) have been steadily increasing over the last few years. OpenAI’s GPT-1 started off with 117 million parameters, which increased to 1.5 billion in GPT-2, and then 175 billion in GPT-3.5. The most recent GPT-4 was rumoured to have over a trillion parameters.

Enhancing Data Interactivity with LLMs and Neo4j Knowledge Graphs Author Wenyi Pi ( ORCID : 0009–0002–2884–2771) Introduction Since OpenAI launched ChatGPT, a large language model (LLM) based chatbot, in 2023, it has set off a technological wave.

Introduction Since OpenAI launched ChatGPT, a large language model (LLM) based chatbot, in 2023, it has set off a technological wave. These models, capable of understanding and generating human-like text, can adapt to various conversational contexts and address questions across a broad range of topics. They even simulate human actions, revolutionising the way humans interact with machines.