​[[{“value”:” A team of researchers from the Institute of Automation, Chinese Academy of Sciences, and the University of California, Berkeley Propose K-Sort Arena: a novel benchmarking platform designed to evaluate visual generative models efficiently and reliably. As the field of visual generation advances rapidly, with… Read More »K-Sort Arena: A Benchmarking Platform for Visual Generation Models Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Training a model now requires more memory and computing power than a single accelerator can provide due to the exponential growth of model parameters. The effective usage of combined processing power and memory across a large number of GPUs is essential for training models… Read More »Poplar: A Distributed Training System that Extends Zero Redundancy Optimizer (ZeRO) with Heterogeneous-Aware Capabilities Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multi-agent systems involving multiple autonomous agents working together to accomplish complex tasks are becoming increasingly vital in various domains. These systems utilize generative AI models combined with specific tools to enhance their ability to tackle intricate problems. By distributing tasks among specialized agents, multi-agent… Read More »Microsoft Research Introduces AutoGen Studio: A Low-Code Interface for Rapidly Prototyping AI Agents Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Cognitive biases, once seen as flaws in human decision-making, are now recognized for their potential positive impact on learning and decision-making. However, in machine learning, especially in search and ranking systems, the study of cognitive biases still needs to be improved. Most of the… Read More »The Bright Side of Bias: How Cognitive Biases Can Enhance Recommendations Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Soil Health Monitoring through Microbiome-Based Machine Learning: Soil health is critical for maintaining agroecosystems’ ecological and commercial value, requiring the assessment of biological, chemical, and physical soil properties. Traditional methods for monitoring these properties can be expensive and impractical for routine analysis. However, the… Read More »Advancing Soil Health Monitoring: Leveraging Microbiome-Based Machine Learning for Enhanced Agricultural Sustainability Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The deployment and optimization of large language models (LLMs) have become critical for various applications. Neural Magic has introduced GuideLLM to address the growing need for efficient, scalable, and cost-effective LLM deployment. This powerful open-source tool is designed to evaluate and optimize the deployment… Read More »GuideLLM Released by Neural Magic: A Powerful Tool for Evaluating and Optimizing the Deployment of Large Language Models (LLMs) Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of large language models (LLMs) has seen tremendous advancements, particularly in expanding their memory capacities to process increasingly extensive contexts. These models can now handle inputs with over 100,000 tokens, allowing them to perform highly complex tasks such as generating long-form text,… Read More »LongWriter-6k Dataset Developed Leveraging AgentWrite: An Approach to Scaling Output Lengths in LLMs Beyond 10,000 Words While Ensuring Coherent and High-Quality Content Generation Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep neural network training can be sped up by Fully Quantised Training (FQT), which transforms activations, weights, and gradients into lower precision formats. The training procedure is more effective with the help of the quantization process, which enables quicker calculation and lower memory utilization.… Read More »This AI Research from China Introduces 1-Bit FQT: Enhancing the Capabilities of Fully Quantized Training (FQT) to 1-bit Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, they face a significant challenge: hallucinations, where the models generate responses that are not grounded in the source material. This issue undermines the reliability of LLMs and makes hallucination… Read More »Microsoft Researchers Combine Small and Large Language Models for Faster, More Accurate Hallucination Detection Mohammad Asjad Artificial Intelligence Category – MarkTechPost