​[[{“value”:” There is a growing demand for embedding models that balance accuracy, efficiency, and versatility. Existing models often struggle to achieve this balance, especially in scenarios ranging from low-resource applications to large-scale deployments. The need for more efficient, high-quality embeddings has driven the development of… Read More »From ONNX to Static Embeddings: What Makes Sentence Transformers v3.2.0 a Game-Changer? Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” There is a need for flexible and efficient adaptation of large language models (LLMs) to various tasks. Existing approaches, such as mixture-of-experts (MoE) and model arithmetic, struggle with requiring substantial tuning data, inflexible model composition, or strong assumptions about how models should be used.… Read More »Google AI Researchers Propose ‘MODEL SWARMS’: A Collaborative Search Algorithm to Flexibly Adapt Diverse LLM Experts to Wide-Ranging Purposes Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence is evolving significantly, and Large Language Models have shown a remarkable capacity to comprehend human-text inputs. Going beyond simple text to analyzing and generating code, LLMs have shown promising results in software development. However, with increased complexity, providing a quality assessment of… Read More »CodeJudge: An Machine Learning Framework that Leverages LLMs to Evaluate Code Generation Without the Need for Test Cases Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mobile Vehicle-to-Microgrid (V2M) services enable electric vehicles to supply or store energy for localized power grids, enhancing grid stability and flexibility. AI is crucial in optimizing energy distribution, forecasting demand, and managing real-time interactions between vehicles and the microgrid. However, adversarial attacks on AI… Read More »This AI Paper Propsoes an AI Framework to Prevent Adversarial Attacks on Mobile Vehicle-to-Microgrid Services Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Widely growing sectors, like Healthcare, logistics, and smart cities, are interconnected on devices that require task reasoning capabilities in the Internet of Things (IoT) systems. This requirement has prompted researchers to find effective ways to integrate real-time data and contextual understanding into Large Language… Read More »IoT-LLM: An AI Framework that Integrates IoT Sensor Data with LLMs to Enhance their Perception and Reasoning Abilities in the Physical World Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have demonstrated remarkable progress in natural language processing tasks, inspiring researchers to explore similar approaches for text-to-image synthesis. At the same time, diffusion models have become the dominant approach in visual generation. However, the operational differences between the two approaches… Read More »Meissonic: A Non-Autoregressive Mask Image Modeling Text-to-Image Synthesis Model that can Generate High-Resolution Images Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Current generative AI models face challenges related to robustness, accuracy, efficiency, cost, and handling nuanced human-like responses. There is a need for more scalable and efficient solutions that can deliver precise outputs while being practical for diverse AI applications. Nvidia introduces the Nemotron 70B… Read More »Nvidia AI Quietly Launches Nemotron 70B: Crushing OpenAI’s GPT-4 on Various Benchmarks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Photovoltaic energy, which uses solar panels to turn sunlight into electricity, is an important part of the shift to renewable energy. Deep learning-based prediction is critical for optimizing output, anticipating weather fluctuations, and improving solar system efficiency, allowing for more intelligent energy network management. … Read More »Analysis of Deceptive Data Attacks with Adversarial Machine Learning for Solar Photovoltaic Power Generation Forecasting Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning focuses on developing models that can learn from large datasets to improve their predictions and decision-making abilities. One of the core areas of development within machine learning is neural networks, which are especially critical for tasks such as image recognition, language processing,… Read More »This AI Paper from Meta AI Highlights the Risks of Using Synthetic Data to Train Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The need for efficient and trustworthy techniques to assess the performance of Large Language Models (LLMs) is increasing as these models are incorporated into more and more domains. When evaluating how effectively LLMs operate in dynamic, real-world interactions, traditional assessment standards are frequently used… Read More »Meet TurtleBench: A Unique AI Evaluation System for Evaluating Top Language Models via Real World Yes/No Puzzles Tanya Malhotra Artificial Intelligence Category – MarkTechPost