[[{“value”:”Apple researchers are advancing the field of ML through fundamental research that improves the world’s understanding of this technology and helps to redefine what is possible with it. This work may lead to advancements in Apple’s products and services, and the benefits of the research… Read More »Apple Machine Learning Research at NeurIPS 2024 Apple Machine Learning Research
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[[{“value”:” As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society. This… Read More »Advancing AI trust with new responsible AI tools, capabilities, and resources Dr. Baskar Sridharan AWS Machine Learning Blog
[[{“value”:” Generative AI has empowered customers with their own information in unprecedented ways, reshaping interactions across various industries by enabling intuitive and personalized experiences. This transformation is significantly enhanced by Retrieval Augmented Generation (RAG), which is a generative AI pattern where the large language model… Read More »Deploy RAG applications on Amazon SageMaker JumpStart using FAISS Raghu Ramesha AWS Machine Learning Blog
[[{“value”:” Today, organizations are constantly seeking ways to use advanced large language models (LLMs) for their specific needs. These organizations are engaging in both pre-training and fine-tuning massive LLMs, with parameter counts in the billions. This process aims to enhance model efficacy for a wide… Read More »Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans Aman Shanbhag AWS Machine Learning Blog
Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future Read More
Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future Read More
[[{“value”:” Posted by Colby Banbury, Emil Njor, Andrea Mattia Garavagno, Vijay Janapa Reddi TinyML is an exciting frontier in machine learning, enabling models to run on extremely low-power devices such as microcontrollers and edge devices. However, the growth of this field has been stifled by… Read More »Introducing Wake Vision: A High-Quality, Large-Scale Dataset for TinyML Computer Vision Applications noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog
[[{“value”:” Large Language Models (LLMs) have grown in complexity and demand, creating significant challenges for companies aiming to provide scalable and cost-effective Model-as-a-Service (MaaS). The rapid adoption of LLMs in various applications has led to highly variable workloads in terms of input/output lengths, arrival frequencies,… Read More »China’s AI Unicorn ‘Moonshot AI’ Open-Sources its Core Reasoning Architecture: ‘Mooncake’ Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” The rapid advancement of large language models (LLMs) has exposed critical infrastructure challenges in model deployment and communication. As models scale in size and complexity, they encounter significant storage, memory, and network bandwidth bottlenecks. The exponential growth of model sizes creates computational and infrastructural… Read More »ZipNN: A New Lossless Compression Method Tailored to Neural Networks Sajjad Ansari Artificial Intelligence Category – MarkTechPost