​In an industry as competitive as machine learning (ML), job position candidates need a well-structured portfolio and access to all the avenues to gain industry exposure. In an industry as competitive as machine learning (ML), job position candidates need a well-structured portfolio and access to all… Read More »The Ultimate Guide to Building a Machine Learning Portfolio That Lands Jobs Jayita Gulati MachineLearningMastery.com

​[[{“value”:” Amazon Q Business is a generative AI-powered assistant that enhances employee productivity by solving problems, generating content, and providing insights across enterprise data sources. Beyond searching indexed third-party services, employees need access to dynamic, near real-time data such as stock prices, vacation balances, and… Read More »Automate actions across enterprise applications using Amazon Q Business plugins Abhishek Maligehalli Shivalingaiah AWS Machine Learning Blog

​[[{“value”:” Wireless communication is the foundation of modern systems, enabling critical applications in military, commercial, and civilian domains. Its increasing prevalence has changed daily life and operations worldwide while introducing serious security threats. Attackers exploit these vulnerabilities to intercept sensitive data, disrupt communications, or conduct… Read More »Frequency-Selective Adversarial Attack Against Deep Learning-Based Wireless Signal Classifiers Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have made important advances in artificial intelligence, with superior performance on various tasks as their parameters and training data grow. GPT-3, PaLM, and Llama-3.1 perform well in many applications with billions of parameters. However, when implemented in low-power platforms, scaling… Read More »From Scale to Density: A New AI Framework for Evaluating Large Language Models Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Sequential Recommendation systems have crucial applications in industries like e-commerce and streaming services. These systems collect and analyze the user interaction data over time to predict their preferences. However, the ID-based representations of users and items these systems rely on face critical drawbacks when… Read More »ID-Language Barrier: A New Machine Learning Framework for Sequential Recommendation Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs like GPT-4 and LLaMA have gained significant attention for their exceptional capabilities in natural language inference, summarization, and question-answering tasks. However, these models often generate outputs that appear credible but include inaccuracies, fabricated details, or misleading information, a phenomenon termed hallucinations. This issue… Read More »LLM-Check: Efficient Detection of Hallucinations in Large Language Models for Real-Time Applications Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Vision Language Models (LVLMs) have demonstrated significant advancements across various challenging multi-modal tasks over the past few years.  Their ability to interpret visual information in figures, known as visual perception, relied on visual encoders and multimodal training. Even with these advancements, visual perception… Read More »VisOnlyQA: A New Dataset for Evaluating the Visual Perception of LVLMs (Large Vision Language Models) Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Training AI models today isn’t just about designing better architectures—it’s also about managing data efficiently. Modern models require vast datasets and need those datasets delivered quickly to GPUs and other accelerators. The problem? Traditional data loading systems often lag behind, slowing everything down. These… Read More »Meta AI Introduces SPDL (Scalable and Performant Data Loading): A Step Forward in AI Model Training with Thread-based Data Loading Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Quantum computing has long been seen as a promising avenue for advancing computational capabilities beyond those of classical systems. However, the field faces a persistent challenge: error rates. Quantum bits, or qubits, are inherently fragile, and minor disturbances can lead to computational errors. This… Read More »Google Quantum AI Introduces Willow: A New State-of-the-Art Quantum Computing Chip with a Breakthrough that can Reduce Errors Exponentially Asif Razzaq Artificial Intelligence Category – MarkTechPost