​[[{“value”:” This post has been co-written with Artem Sysuev, Danny Portman, Matúš Chládek, and Saurabh Gupta from Zeta Global. Zeta Global is a leading data-driven, cloud-based marketing technology company that empowers enterprises to acquire, grow and retain customers. The company’s Zeta Marketing Platform (ZMP) is… Read More »Building an efficient MLOps platform with OSS tools on Amazon ECS with AWS Fargate Varad Ram AWS Machine Learning Blog

​[[{“value”:” Artificial intelligence (AI) and natural language processing (NLP) have seen significant advancements in recent years, particularly in the development and deployment of large language models (LLMs). These models are essential for various tasks, such as text generation, question answering, and document summarization. However, while… Read More »Writer Researchers Introduce Writing in the Margins (WiM): A New Inference Pattern for Large Language Models Designed to Optimize the Handling of Long Input Sequences in Retrieval-Oriented Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​New video generation technology in YouTube Shorts will help millions of people realize their creative vision New video generation technology in YouTube Shorts will help millions of people realize their creative vision  Read More  

​[[{“value”:” Early attempts in 3D generation focused on single-view reconstruction using category-specific models. Recent advancements utilize pre-trained image and video generators, particularly diffusion models, to enable open-domain generation. Fine-tuning on multi-view datasets improved results, but challenges persisted in generating complex compositions and interactions. Efforts to… Read More »DreamHOI: A Novel AI Approach for Realistic 3D Human-Object Interaction Generation Using Textual Descriptions and Diffusion Models Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Microscopic imaging is crucial in modern medicine as an indispensable tool for researchers and clinicians. This imaging technology allows detailed examination of biological structures at the cellular and molecular levels, enabling the study of tissue samples in disease diagnosis and pathology. By capturing these… Read More »Microscopic-Mamba Released: A Groundbreaking Hybrid Model Combining Convolutional Neural Network CNNs and SSMs for Efficient and Accurate Medical Microscopic Image Classification Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A major challenge in the field of Speech-Language Models (SLMs) is the lack of comprehensive evaluation metrics that go beyond basic textual content modeling. While SLMs have shown significant progress in generating coherent and grammatically correct speech, their ability to model acoustic features such… Read More »How Well Can AI Models Capture the Sound of Emotion? This AI Paper Unveils SALMON: A Suite for Acoustic Language Model Evaluation Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI Control assesses the safety of deployment protocols for untrusted AIs through red-teaming exercises involving a protocol designer and an adversary. AI systems, like chatbots with access to tools such as code interpreters, become increasingly integrated into various tasks, ensuring their safe deployment becomes… Read More »Optimizing AI Safety and Deployment: A Game-Theoretic Approach to Protocol Evaluation in Untrusted AI Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have made significant success in various language tasks, but steering their outputs to meet specific properties remains a challenge. Researchers are attempting to solve the problem of controlling LLM generations to satisfy desired characteristics across a wide range of applications.… Read More »Contrastive Twist Learning and Bidirectional SMC Bounds: A New Paradigm for Language Model Control Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Stochastic optimization problems involve making decisions in environments with uncertainty. This uncertainty can arise from various sources, such as sensor noise, system disturbances, or unpredictable external factors. It can real-time control and planning in robotics and autonomy, where computational efficiency is crucial for handling… Read More »MPPI-Generic: A New C++/CUDA library for GPU-Accelerated Stochastic Optimization Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost