​[[{“value”:” Small language models (SLMs) have become a focal point in natural language processing (NLP) due to their potential to bring high-quality machine intelligence to everyday devices. Unlike large language models (LLMs) that operate within cloud data centers and demand significant computational resources, SLMs aim… Read More »A Comprehensive Survey of Small Language Models: Architectures, Datasets, and Training Algorithms Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:”*Equal Contributors To deploy machine learning models on-device, practitioners use compression algorithms to shrink and speed up models while maintaining their high-quality output. A critical aspect of compression in practice is model comparison, including tracking many compression experiments, identifying subtle changes in model behavior, and… Read More »Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments Apple Machine Learning Research

​[[{“value”:” Information retrieval (IR) models face significant challenges in delivering transparent and intuitive search experiences. Current methodologies primarily rely on a single semantic similarity score to match queries with passages, leading to a potentially opaque user experience. This approach often requires users to engage in… Read More »Researchers from John Hopkins and Samaya AI Propose Promptriever: A Zero-Shot Promptable Retriever Trained from a New Instruction-based Retrieval Dataset Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Aerospace companies face a generational workforce challenge today. With the strong post-COVID recovery, manufacturers are committing to record production rates, requiring the sharing of highly specialized domain knowledge across more workers. At the same time, maintaining the headcount and experience level of the workforce… Read More »GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock Peter Bellows AWS Machine Learning Blog

​[[{“value”:” Video generation has become the latest frontier in AI research, following the success of text-to-image models. Luma AI’s recently launched Dream Machine represents a significant advancement in this field. This text-to-video API generates high-quality, realistic videos quickly from text and images. Trained on the… Read More »Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study Gordon Wang AWS Machine Learning Blog

​[[{“value”:” Amazon SageMaker Studio provides a single web-based visual interface where different personas like data scientists, machine learning (ML) engineers, and developers can build, train, debug, deploy, and monitor their ML models. These personas rely on access to data in Amazon Simple Storage Service (Amazon… Read More »Control data access to Amazon S3 from Amazon SageMaker Studio with Amazon S3 Access Grants Koushik Konjeti AWS Machine Learning Blog

​[[{“value”:” As LLMs become more prevalent in software development, it’s crucial to ensure they can accurately understand, generate, and manipulate code. It can also help determine the suitability of LLMs for real-world applications, such as automated code generation, software testing, and code optimization. Current evaluation… Read More »SpecEval: A Novel Black-Box Evaluation Framework to Evaluate Code Comprehension in LLMs via Program Specifications Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The AI industry is rapidly advancing towards creating solutions using large language models (LLMs) and maximizing the potential of AI models. Companies are seeking tools that seamlessly integrate AI into existing codebases without the hefty costs associated with hiring professionals and acquiring resources. This… Read More »Building 3 Fun AI Applications with ControlFlow Abid Ali Awan MachineLearningMastery.com

​Our AI method has accelerated and optimized chip design, and its superhuman chip layouts are used in hardware around the world. Our AI method has accelerated and optimized chip design, and its superhuman chip layouts are used in hardware around the world.  Read More  

​[[{“value”:” Multimodal models represent a significant advancement in artificial intelligence by enabling systems to process and understand data from multiple sources, like text and images. These models are essential for applications like image captioning, answering visual questions, and assisting in robotics, where understanding visual and… Read More »Are Small Language Models Really the Future of Language Models? Allen Institute for Artificial Intelligence (Ai2) Releases Molmo: A Family of Open-Source Multimodal Language Models Asif Razzaq Artificial Intelligence Category – MarkTechPost