Google recently unveiled its most advanced AI system yet, called Gemini. Gemini represents a major leap forward in artificial intelligence, with capabilities across multiple modalities like text, images, audio, video, and more. In this in-depth blog post, we’ll explore what…
1. Introduction to Overfitting and Underfitting When training machine learning models, one of the key challenges is balancing model complexity. Models that are too simple may struggle to detect the underlying patterns in the data. This is called underfitting. On…
What is GPT? GPT, which stands for Generative Pretrained Transformer, is a cutting-edge natural language processing (NLP) model developed by OpenAI in 2018. GPT pioneered a new paradigm in NLP called autoregressive language modeling. Autoregressive models are trained to predict…
The gaming industry has undergone massive changes in recent years thanks to advancements in artificial intelligence (AI) and machine learning. Game developers are integrating AI in innovative ways to enhance gameplay, create more immersive worlds, and improve development workflows. In…
The Marvelous World of Machine Learning Machine Learning (ML) has become the buzzword of the 21st century. You’ve probably heard it mentioned in tech circles, on the news, or even at the water cooler. But what exactly is this mysterious…
Introduction to Linear Regression Linear regression is one of the most popular and commonly used machine learning algorithms. It is a statistical method used to predict continuous, numeric values based on historical data. Regression analysis involves modelling the relationship between…
What is Gradient Descent? Gradient descent is an optimization algorithm that is commonly used to minimize cost functions and train machine learning models. It works by taking steps in the direction of steepest descent, which means moving towards lower values…