​[[{“value”:” Natural Language Processing (NLP) seeks to enable computers to comprehend and interact using human language. A critical challenge in NLP is evaluating language models (LMs), which generate responses across various tasks. The diversity of these tasks makes it difficult to assess the quality of… Read More »Prometheus 2: An Open Source Language Model that Closely Mirrors Human and GPT-4 Judgements in Evaluating Other Language Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The landscape of electricity generation has undergone a profound transformation in recent years, propelled by the urgent global climate change movement. This shift has led to a significant increase in the generation of renewable energy (RE), resulting in a grid that is increasingly subjected… Read More »Researchers at Kassel University Introduce a Machine Learning Approach Presenting Specific Target Topologies (Tts) as Actions Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid evolution in AI demands models that can handle large-scale data and deliver accurate, actionable insights. Researchers in this field aim to create systems capable of continuous learning and adaptation, ensuring they remain relevant in dynamic environments. A significant challenge in developing AI… Read More »Researchers at NVIDIA AI Introduce ‘VILA’: A Vision Language Model that can Reason Among Multiple Images, Learn in Context, and Even Understand Videos Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multi-Layer Perceptrons (MLPs), also known as fully-connected feedforward neural networks, have been significant in modern deep learning. Because of the universal approximation theorem’s guarantee of expressive capacity, they are frequently employed to approximate nonlinear functions. MLPs are widely used; however, they have disadvantages like… Read More »How Does KAN  (Kolmogorov–Arnold Networks) Act As A Better Substitute For Multi-Layer Perceptrons (MLPs)? Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) represent a significant leap in artificial intelligence, offering robust natural language understanding and generation capabilities. These advanced models can perform various tasks, from aiding virtual assistants to generating comprehensive content and conducting in-depth data analysis. Despite their impressive range of… Read More »Factuality-Aware Alignment (FLAME): Enhancing Large Language Models for Reliable and Accurate Responses Sana Hassan Artificial Intelligence Category – MarkTechPost

​ We have a very big and exciting update to share with you. Over the past few months, I have been publishing many of my AI insights and experiments on Substack. One of the things that LLMs are exposing is the role that psychology and bias… Read More »Big Update: Exciting Changes Ahead Stefan Kojouharov Becoming Human: Artificial Intelligence Magazine – Medium

​ We have a very big and exciting update to share with you. Over the past few months, I have been publishing many of my AI insights and experiments on Substack. One of the things that LLMs are exposing is the role that psychology and bias… Read More »Exciting Changes Ahead: Big Update Stefan Kojouharov Chatbots Life – Medium

​[[{“value”:” Machine learning focuses on creating algorithms that enable computers to learn from data and improve performance over time. It has revolutionized domains such as image recognition, natural language processing, and personalized recommendations. This research field leverages vast datasets and advanced computational capabilities, pushing the… Read More »This AI Paper by Scale AI Introduces GSM1k for Measuring Reasoning Accuracy in Large Language Models LLMs Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have gained traction for their exceptional performance in various tasks. Recent research aims to enhance their factuality by integrating external resources, including structured data and free text. However, numerous data sources, such as patient records and financial databases, contain a… Read More »Researchers at Stanford Introduce SUQL: A Formal Query Language for Integrating Structured and Unstructured Data Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The foundational importance of arrays in computer science cannot be overstated. Arrays and lists are the bedrock of data structures, often the first concepts introduced to budding programmers. Since their inception back to Fortran in 1957 and continuing to hold prominence in contemporary languages… Read More »MIT Researchers Propose Finch: A New Programming Language that Supports both Flexible Control Flow and Diverse Data Structures Mohammad Arshad Artificial Intelligence Category – MarkTechPost