AI vs ARCHITECT – Artificial Intelligence +
IntroductionThe debate over whether artificial intelligence (AI) can outperform human architects in design has been ongoing for years. With the advent of advanced AI tools like ChatGPT and Midjourney AI,…
IntroductionThe debate over whether artificial intelligence (AI) can outperform human architects in design has been ongoing for years. With the advent of advanced AI tools like ChatGPT and Midjourney AI,…
IntroductionVertex AI is a cloud-based machine learning platform developed by Google Cloud that provides an end-to-end workflow for building, training, and deploying machine learning models. It supports various types of…
IntroductionThe development of AI is the next step on the path of world progress, and the prejudices and remnants of the past always stand in the way of progress in…
IntroductionLatex is arguably the most popular typesetting languages in the world today. It is a free software package that was developed by the Leslie Lamport in 1985 to make it…
IntroductionSongwriting is a lucrative industry. But songwriters, like other artists, may also come across creative blocks. Whether you want to polish your songwriting skills or get new songwriting inspiration, AI…
Democratizing Artificial IntelligenceDemocratizing AI is an essential step towards making artificial intelligence accessible to a broader audience, including individuals and organizations that lack specialized knowledge and resources in the field…
IntroductionPython provides a rich set of built-in string methods that allow developers to manipulate strings easily and efficiently. String methods are functions that can be called on a string object…
IntroductionWhile the world of loss functions in deep learning can be a bit confusing at times, there is one loss function that serves as the entry-level access point for most…
Introduction To Vector Norms: L0, L1, L2, L-InfinityI’ll be honest here. Vector norms are boring. On a positive note, this is probably one of the most interesting blog on vector…
IntroductionMost of the time in machine learning and deep learning we are attempting to create a computational model that can describe something about a dataset it’s given. Data which we…