​[[{“value”:” Electronic Health Records (EHRs) present a wealth of information, combining structured tabular data and unstructured clinical notes. This valuable resource forms the foundation for training clinical decision support systems and automating diagnosis and treatment planning processes. While large language models (LLMs) can utilize unstructured… Read More »SynSUM: A Synthetic Benchmark for Integrating Clinical Notes with Structured Data Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of spoken dialogue systems has evolved significantly over the years, moving beyond simple voice-based interfaces to complex models capable of sustaining real-time conversations. Early systems such as Siri, Alexa, and Google Assistant pioneered voice-activated interactions, allowing users to trigger specific actions through… Read More »Kyutai Open Sources Moshi: A Breakthrough Full-Duplex Real-Time Dialogue System that Revolutionizes Human-like Conversations with Unmatched Latency and Speech Quality Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Data-Free Knowledge Distillation (DFKD) methods transfer knowledge from teacher to student models without real data, using synthetic data generation. Non-adversarial approaches employ heuristics to create data resembling the original, while adversarial methods utilize adversarial learning to explore distribution spaces. One-Shot Federated Learning (FL) addresses… Read More »DFDG: Enhancing One-Shot Federated Learning with Data-Free Dual Generators for Improved Model Performance and Reduced Data Overlap Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Collaborative perception has become a critical area of research in autonomous driving and robotics. In these fields, agents—such as vehicles or robots—must work together to understand their environment more accurately and efficiently. By sharing sensory data among multiple agents, the accuracy and depth of… Read More »CollaMamba: A Resource-Efficient Framework for Collaborative Perception in Autonomous Systems Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have demonstrated impressive performance in tasks like Natural Language Processing, generation, and text synthesis. However, they still encounter major difficulties in more complicated circumstances. These are assignments that call for using tools to solve problems, dealing with structured data, or… Read More »Source2Synth: A New AI Technique for Synthetic Data Generation and Curation Grounded in Real Data Sources Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mistral AI recently announced the release of Mistral-Small-Instruct-2409, a new open-source large language model (LLM) designed to address critical challenges in artificial intelligence research and application. This development has generated significant excitement in the AI community, as it promises to enhance the performance of… Read More »Mistral AI Released Mistral-Small-Instruct-2409: A Game-Changing Open-Source Language Model Empowering Versatile AI Applications with Unmatched Efficiency and Accessibility Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the field of technology and creative design, logo design and creation has adapted and evolved at a rapid pace. From the hieroglyphs of ancient Egypt to the sleek minimalism of today’s tech giants, the visual identities that define our favorite brands have undergone… Read More »Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration Pyone Thant Win AWS Machine Learning Blog

​[[{“value”:” Personalization has become a cornerstone of delivering tangible benefits to businesses and their customers. Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. This post presents an automated… Read More »Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows Burak Gozluklu AWS Machine Learning Blog

​[[{“value”:” In recent years, FM sizes have been increasing. It is important to consider the massive amount of compute often required to train these models. The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or… Read More »Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod Niithiyn Vijeaswaran AWS Machine Learning Blog

​[[{“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