​[[{“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

​[[{“value”:” OpenAI has unveiled Sora, its new text-to-video generation tool, a major step forward in AI-powered content creation. However, the launch comes with a notable exception: users in the European Union and the United Kingdom won’t have access for now, highlighting ongoing challenges between innovation… Read More »OpenAI Just Released Sora: The Most Awaited AI Video-Generation Tool Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:”*Equal Contributors Large language models (LLMs) are increasingly being adapted to achieve task-specificity for deployment in real-world decision systems. Several previous works have investigated the bias transfer hypothesis (BTH) by studying the effect of the fine-tuning adaptation strategy on model fairness to find that fairness… Read More »Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models Apple Machine Learning Research

​[[{“value”:” Inspired by human cognitive processes, large language models (LLMs) possess an intriguing ability to interpret and represent abstract world states, which are specific snapshots of the situation or context (basically the environment) described in the text, such as the arrangement of objects or tasks… Read More »How Fine-Tuned Large Language Models Prioritize Goal-Oriented Reasoning Over Comprehensive World Representations: Insights From the REPLACE Framework Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker, users want a seamless and secure way to experiment with and select the models that deliver the most… Read More »Accelerating ML experimentation with enhanced security: AWS PrivateLink support for Amazon SageMaker with MLflow Xiaoyu Xing AWS Machine Learning Blog

​[[{“value”:” Research in code embedding models has witnessed a significant breakthrough with the introduction of voyage-code-3, an advanced embedding model specifically designed for code retrieval tasks by researchers from Voyage AI. The model demonstrates remarkable performance, substantially outperforming existing state-of-the-art solutions like OpenAI-v3-large and CodeSage-large.… Read More »Voyage AI Introduces voyage-code-3: A New Next-Generation Embedding Model Optimized for Code Retrieval Mohammad Asjad Artificial Intelligence Category – MarkTechPost