AIREVOLUTION

Conceptual Contrasts Between Parroting and Hallucination in Language Models

Advancements in artificial intelligence (AI), particularly in natural language processing (NLP), highlight critical distinctions between parroting and hallucination in language models. Parroting refers to AI reproducing or mimicking patterns and phrases from training data without demonstrating understanding or creativity. Hallucination involves generating factually incorrect, implausible, or fabricated outputs, often diverging

by Miklós Sebők - Rebeka Kiss • Jun 23, 2025

GenAI textbook Part 9 Chapter 3

The Environmental Costs of Artificial Intelligence: A Growing Concern

The rapid integration of Artificial Intelligence (AI) into global economies has driven transformative advancements in sectors such as healthcare and agriculture. However, this technological revolution incurs significant environmental costs, particularly through substantial energy consumption and greenhouse gas (GHG) emissions. The carbon footprint of AI, stemming from energy-intensive processes like hardware

by Miklós Sebők - Rebeka Kiss • Jun 22, 2025

GenAI textbook Part 6 Chapter 3

The Place of GenAI in the AI Hierarchy: From Neural Networks to Large Language Models

Generative AI relies on a specialised branch of machine learning (ML), namely deep learning (DL) algorithms, which employ neural networks to detect and exploit patterns embedded within data. By processing vast volumes of information, these algorithms are capable of synthesising existing knowledge and applying it creatively. As a result, generative

by Miklós Sebők - Rebeka Kiss • Jun 5, 2025

GenAI textbook Part 3 Chapter 3

NLP Tasks and Applications: Core Techniques and Their Impact

Natural Language Processing (NLP) encompasses a variety of tasks, each with distinct methodologies and applications, including Named Entity Recognition (NER), sentiment analysis, classification, machine translation, summarisation, and information extraction. These tasks underpin numerous real-world applications, from virtual assistants to automated content analysis. This essay explores these core NLP tasks, their

by Miklós Sebők - Rebeka Kiss • Apr 25, 2025

GenAI textbook Part 2 Chapter 3

Main Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning

Machine learning (ML), a fundamental pillar of artificial intelligence, equips computational systems with the capacity to derive insights from data and refine their performance autonomously. Its profound influence permeates diverse domains, encompassing medical diagnostics, financial modelling, and autonomous systems. This essay offers a critical examination of the three principal paradigms

by Miklós Sebők - Rebeka Kiss • Mar 30, 2025

GenAI textbook Part 1 Chapter 3

Typologies of Artificial Intelligence: Narrow, General, and Superintelligent Systems

Artificial Intelligence (AI) has emerged as a transformative field within computer science, encompassing technologies that enable machines to perform tasks that typically require human intelligence, such as reasoning, learning, and problem-solving. In academic literature, AI is often categorised into three primary types: Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI)

by Miklós Sebők - Rebeka Kiss • Mar 1, 2025