​ For UI/UX designers, getting a better computational understanding of user interfaces is the primary step toward achieving more enhanced and intelligent UI behaviors. This is because this mobile UI understanding ultimately helps UI research practitioners enable various interaction tasks such as UI automation and… Read More »Google AI Introduces A Vision-Only Approach That Aims To Achieve General UI Understanding Completely From Raw Pixels Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ Large language models (LLMs) have made headlines in the tech world in recent years. They have revolutionized the way we communicate and interact with technology. These models are trained on massive amounts of data and use complex algorithms to generate human-like answers. ChatGPT, the… Read More »Teaching the Past from the Future Mistakes: This AI Technique Makes Large Language Models Better Instruction Followers Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ Recent technological breakthroughs have tremendously enhanced the performance of artificial intelligence (AI) agents and models. One such technique for creating AI models that are capable of solving diverse  problems is reinforcement learning (RL). Reinforcement learning is a domain of machine learning in which agents… Read More »This AI Framework Called Read and Reward Speeds up Reinforcement Learning Algorithms on Atari Games by Reading Manuals Released by the Atari Game Developers Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ Artificial intelligence’s main focus has been on automating mathematical reasoning. More recently, machine learning has greatly benefited both informal and formal theorem proving. The latter method, which they use in this research, enables proof assistants to interact with machine learning models to verify proofs… Read More »Meet Magnushammer: A Transformer-based Approach to Premise Selection Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ In this blog, we will see the techniques used to overcome overfitting for a lasso regression model. Regularization is one of the methods widely used to make your model more generalized. 1. What is Lasso Regression? Lasso regression (short for “Least Absolute Shrinkage and Selection Operator”)… Read More »LASSO Regression Explained with Examples Narender Kumar Spark By {Examples}

​ We can get the first and last elements of deque using index position, popleft(), and pop() methods in Python. In this article, I will explain how to get first and last element from deque in Python using index position, pop(), and popleft() methods with… Read More »Get First and Last Elements of Deque in Python Gottumukkala Sravan Kumar Spark By {Examples}

​ In Python, we can add items to deque by using some of deque methods. The deque stands for Double Ended Queue which is an one-dimensional data structure like list in python. In this data structure, we can perform insertion and deletion operations from both ends.… Read More »How to Add Items to Deque in python? Gottumukkala Sravan Kumar Spark By {Examples}

​ Python provides various ways to delete the items from the deque. The deque stands for Double Ended Queue which is a one-dimensional data structure like a list in python. In this data structure, we can perform insertion and deletion operations from both ends. Related: Python… Read More »How to Delete Item from Deque in python Gottumukkala Sravan Kumar Spark By {Examples}

​ The introduction of popular language models like ChatGPT and DALL-E has been a massive topic of interest for the past few months, especially in the Artificial Intelligence community. These models can perform tasks ranging from answering questions and generating content to producing good-quality images.… Read More »Meet GigaGAN: A Large-scale Modified GAN Architecture for Text-to-Image Synthesis Tanya Malhotra Artificial Intelligence Category – MarkTechPost