​[[{“value”:” Remote sensing is a crucial field utilizing satellite and aerial sensor technologies to detect and classify objects on Earth, playing a significant role in environmental monitoring, agricultural management, and natural resource conservation. These technologies enable scientists to gather extensive data over vast geographic areas… Read More »EuroCropsML: An Analysis-Ready Remote Sensing Machine Learning Dataset for Time Series Crop Type Classification of Agricultural Parcels in Europe Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The mismatch between human expectations of AI capabilities and the actual performance of AI systems does not allow users to effectively utilize LLMs. Incorrect assumptions about AI capabilities can lead to dangerous situations, especially in critical applications like self-driving cars or medical diagnosis. If… Read More »A New AI Study from MIT Shows Someone’s Beliefs about an LLM Play a Significant Role in the Model’s Performance and are Important for How It is Deployed Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A significant challenge in AI research is improving the efficiency and accuracy of language models for long-horizon planning problems. Traditional methods either lack the speed needed for real-time applications or the accuracy required for complex tasks. Addressing this challenge is crucial for advancing AI’s… Read More »This AI Paper from UNC-Chapel Hill Introduces the System-1.x Planner: A Hybrid Framework for Efficient and Accurate Long-Horizon Planning with Language Models Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) excel in generating human-like text, offering a plethora of applications from customer service automation to content creation. However, this immense potential comes with significant risks. LLMs are prone to adversarial attacks that manipulate them into producing harmful outputs. These vulnerabilities… Read More »Imposter.AI: Unveiling Adversarial Attack Strategies to Expose Vulnerabilities in Advanced Large Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mistral AI recently announced the release of Mistral Large 2, the latest iteration of its flagship model, which promises significant advancements over its predecessor. This new model excels in code generation, mathematics, and reasoning and offers enhanced multilingual support and advanced function-calling capabilities. Mistral… Read More »Mistral-Large-Instruct-2407 Released: Multilingual AI with 128K Context, 80+ Coding Languages, 84.0% MMLU, 92% HumanEval, and 93% GSM8K Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text retrieval is essential for applications like searching, question answering, semantic similarity, and item recommendation. Embedding or dense retrieval models play a key role in this process. The hard-negative mining method is used, to select negative passages for queries to train these models. It… Read More »Nvidia AI Introduces NV-Retriever-v1: An Embedding Model Optimized for Retrieval Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Today, we are excited to announce a new capability in Amazon SageMaker inference that can help you reduce the time it takes for your generative artificial intelligence (AI) models to scale automatically. You can now use sub-minute metrics and significantly reduce overall scaling latency… Read More »Amazon SageMaker inference launches faster auto scaling for generative AI models James Park AWS Machine Learning Blog

​[[{“value”:” Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. With Amazon Q, you can quickly find answers to questions, generate summaries and content, and complete tasks by using the information… Read More »Find answers accurately and quickly using Amazon Q Business with the SharePoint Online connector Vijai Gandikota AWS Machine Learning Blog

​[[{“value”:” As conversational artificial intelligence (AI) agents gain traction across industries, providing reliability and consistency is crucial for delivering seamless and trustworthy user experiences. However, the dynamic and conversational nature of these interactions makes traditional testing and evaluation methods challenging. Conversational AI agents also encompass… Read More »Evaluate conversational AI agents with Amazon Bedrock Sharon Li AWS Machine Learning Blog