​[[{“value”:” Deep features are pivotal in computer vision studies, unlocking image semantics and empowering researchers to tackle various tasks, even in scenarios with minimal data. Lately, techniques have been developed to extract features from diverse data types like images, text, and audio. These features serve… Read More »FeatUp: A Machine Learning Algorithm that Upgrades the Resolution of Deep Neural Networks for Improved Performance in Computer Vision Tasks Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” HuggingFace Researchers introduce Quanto to address the challenge of optimizing deep learning models for deployment on resource-constrained devices, such as mobile phones and embedded systems. Instead of using the standard 32-bit floating-point numbers (float32) for representing their weights and activations, the model uses low-precision… Read More »HuggingFace Introduces Quanto: A Python Quantization Toolkit to Reduce the Computational and Memory Costs of Evaluating Deep Learning Models Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The term “text mining” refers to discovering new patterns and insights in massive amounts of textual data. Generating a taxonomy—a collection of structured, canonical labels that characterize features of the corpus—and text classification—the labeling of instances within the corpus using said taxonomy—are two fundamental… Read More »Tnt-LLM: A Novel Machine Learning Framework that Combines the Interpretability of Manual Approaches with the Scale of Automatic Text Clustering and Topic Modeling Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Harnessing the strong language understanding and generation potential of Large Language Models (LLMs), Multimodal Large Language Models (MLLMs) have been developed in recent years for vision-and-language understanding tasks. MLLMs have shown promising results in understanding general images by aligning a pre-trained visual encoder (e.g.,… Read More »Researchers from Alibaba and the Renmin University of China Present mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the dynamic realm of computer vision and artificial intelligence, a new approach challenges the traditional trend of building larger models for advanced visual understanding. The approach in the current research, underpinned by the belief that larger models yield more powerful representations, has led… Read More »UC Berkeley and Microsoft Research Redefine Visual Understanding: How Scaling on Scales Outperforms Larger Models with Efficiency and Elegance Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Decompilation plays a crucial role in software reverse engineering, enabling the analysis and understanding of binary executables when their source code is inaccessible. This is particularly valuable for software security analysis, bug detection, and the recovery of legacy code. However, traditional decompilation techniques often… Read More »LLM4Decompile: Open-source Large Language Models for Decompilation with Emphasis on Code Executability and Recompilability Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the dynamic landscape of Artificial Intelligence, a longstanding debate questions the need for copyrighted materials in training top AI models. OpenAI’s bold assertion to the UK Parliament in 2023 that training such models without utilizing copyrighted content was ‘impossible’ sent shockwaves through the… Read More »Common Corpus: A Large Public Domain Dataset for Training LLMs Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Although AI is a rapidly growing industry, there are often many obstacles on the path from groundbreaking research to practical applications. Raising the quality of AI models to that of production is a big challenge. Although researchers can create robust models, making them suitable… Read More »Reprompt AI: An AI Startup that is Speeding Up the Road to Production-Ready Artificial Intelligence Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers and developers need to run large language models (LLMs) such as GPT (Generative Pre-trained Transformer) efficiently and quickly. This efficiency heavily depends on the hardware used for training and inference tasks. Central Processing Units (CPUs) and Graphics Processing Units (GPUs) are the main… Read More »CPU vs GPU for Running LLMs Locally Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Football has always been a game of tactical brilliance and strategic genius. From the dugouts of your local parks to the hallowed turf of the biggest stadiums, coaches are constantly tinkering with formations, set-piece routines, and game plans – all in pursuit of that… Read More »Google DeepMind Researchers Introduce TacticAI: A New Deep Learning System that is Reinventing Football Strategy Vibhanshu Patidar Artificial Intelligence Category – MarkTechPost