​[[{“value”:” Multimodal large language models (MLLMs) represent a significant leap in artificial intelligence by combining visual and linguistic information to understand better and interpret complex real-world scenarios. These models are designed to see, comprehend, and reason about visual inputs, making them invaluable in optical character… Read More »NVEagle Released by NVIDIA: A Super Impressive Vision Language Model that Comes in 7B, 13B, and 13B Fine-Tuned on Chat Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” If you regularly follow AI updates, the AI Safety Bill in California should have caught your attention and is causing a lot of debate in Silicon Valley. SB 1047, the Safe and Secure Innovation for Frontier Artificial Intelligence Models Act, was passed by the… Read More »California’s AI Safety Bill Sparks Controversy in Silicon Valley Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A critical challenge in training large language models (LLMs) for reasoning tasks is identifying the most compute-efficient method for generating synthetic data that enhances model performance. Traditionally, stronger and more expensive language models (SE models) have been relied upon to produce high-quality synthetic data… Read More »Can Smaller AI Models Outperform Giants? This AI Paper from Google DeepMind Unveils the Power of ‘Smaller, Weaker, Yet Better’ Training for LLM Reasoners Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“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