Speculations about the impending launch of Generative Pre-trained Transformer 4 or GPT-4 and its subsequent official announcement and confirmation on 14 March 2023 have created […]
Author Archives: Alex Ivankov
Advantages and Disadvantages of Chatbots
Chatbots or chatters have become sophisticated and their applications have become more practical. They have evolved from rule-based automated response applications to AI-powered software programs […]
Tasks and Applications of Computer Vision
Computer vision is one of the main goals and subfields of artificial intelligence. It also falls under the greater concept of machine perception together with […]
Advantages and Disadvantages of DALL-E
DALL-E is a generative artificial intelligence application developed by the American AI research laboratory OpenAI based on a deep learning model and natural language processing […]
Advantages and Disadvantages of Artificial Neural Networks
The defining characteristic of artificial neural networks or ANNs is that they are modeled after the human brain or biological neural systems. ANNs are fundamentally […]
Advantages and Disadvantages of Deep Learning
The practical applications of deep learning represent advances in artificial intelligence while also highlighting the benefits of machine learning and its real-world use cases, as […]
Deep Learning: Definition, Principles, and Applications
Deep learning is a subfield of machine learning that is based on artificial neural networks and based on a machine learning approach called reinforcement learning […]
Natural Language Processing: Advantages and Disadvantages
One of the main goals and fields of artificial intelligence is to equip computer systems, including hardware and software, with the ability to understand and […]
Advantages and Disadvantages of Generative AI
Generative Artificial Intelligence or Generative AI is the application of artificial intelligence or machine learning algorithms and models using deep learning techniques and technologies to […]
Explainer: What is Machine Learning?
Machine learning is arguably a buzzword that earned widespread use beginning in 2016. More than just a fashionable terminology, however, it is a legitimate subfield […]
