​[[{“value”:” Developers of generative AI typically face a tradeoff between model size and accuracy. But a new language model released by NVIDIA delivers the best of both, providing state-of-the-art accuracy in a compact form factor. Mistral-NeMo-Minitron 8B — a miniaturized version of the open Mistral… Read More »Lightweight Champ: NVIDIA Releases Small Language Model With State-of-the-Art Accuracy Kari Briski – Archives Page 1 | NVIDIA Blog

​[[{“value”:” Process mining is a part of data science concerned with analyzing event logs produced by information systems to learn about business processes. This paper addresses process mining techniques, which involve process discovery. All these are very important in organizations, especially in workflow optimization and… Read More »This AI Paper Proposes Utilizing the AI-Based Agents Workflow (AgWf) Paradigm to Enhance the Effectiveness of Process Mining (PM) on LLMs Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Logs provide important insights that are frequently the earliest signs of system problems, making them an essential tool for program maintenance and failure diagnostics. These logs must be effectively parsed for automated log analysis tasks like anomaly identification, troubleshooting, and root cause investigation. The… Read More »HELP (Hierarchical Embeddings-based Log Parser): A Semantic Embeddings-based Framework for Real-Time Log Parsing Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep generative models learn continuous data representations from a limited set of training samples, with global metrics like Fréchet Inception Distance (FID) often used to evaluate their performance. However, these models may perform inconsistently across different regions of the learned manifold, especially in foundation… Read More »Geometry-Guided Self-Assessment of Generative AI Models: Enhancing Diversity, Fidelity, and Control Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Data visualizations (DVs) have become a common practice in the big data era, utilized by various applications and institutions to convey insights from massive raw data. However, creating suitable DVs remains a challenging task, even for experts, as it requires visual analysis expertise and… Read More »DataVisT5: A Powerful Pre-Trained Language Model for Seamless Data Visualization Tasks Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Automated design in artificial intelligence (AI) is an emerging field focusing on developing systems capable of independently generating and optimizing their components. This approach is built on the premise that machine learning can surpass the limitations of manual design, enabling the creation of more… Read More »Automated Design of Agentic Systems(ADAS): A New Research Problem that Aims to Invent Novel Building Blocks and Design Powerful Agentic Systems Automatically Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Data centers are poised to be among the world’s largest electricity consumers. If there is no meaningful change, they will consume between 10% and 20% of the electricity used in the U.S. by 2030. This explosive energy demand is influenced by the increasing computational… Read More »CarbonClipper: A Learning-Augmented Algorithm for Carbon-Aware Workload Management that Achieves the Optimal Robustness Consistency Trade-off Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon SageMaker Data Wrangler provides a visual interface to streamline and accelerate data preparation for machine learning (ML), which is often the most time-consuming and tedious task in ML projects. Amazon SageMaker Canvas is a low-code no-code visual interface to build and deploy ML… Read More »Migrate Amazon SageMaker Data Wrangler flows to Amazon SageMaker Canvas for faster data preparation Charles Laughlin AWS Machine Learning Blog

​[[{“value”:” Language models (LMs), while powerful in generating human-like text, often produce unstructured and inconsistent outputs. The lack of structure in responses poses challenges in real-world applications, especially in long and extensive responses. It becomes difficult to extract specific information, integrate with systems expecting structured… Read More »Formatron: A High-Performance Constrained Decoding Python Library that Allows Users to Control the Output Format of Language Models with Minimal Overhead Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Quantum computing has shown great potential to transform specific algorithms and applications and is expected to work alongside traditional High-Performance Computing (HPC) environments. Moreover, Noisy Intermediate-Scale Quantum (NISQ) devices have emerged as powerful computational platforms, but they face challenges such as limited qubit coherence… Read More »Quantum Framework (QFw): A Flexible Framework for Hybrid HPC and Quantum Computing Sajjad Ansari Artificial Intelligence Category – MarkTechPost