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Federated Learning With Differential Privacy for End-to-End Speech Recognition Apple Machine Learning Research

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​[[{“value”:”*Equal Contributors While federated learning (FL) has recently emerged as a promising approach to train machine learning models, it is limited to only preliminary explorations in the domain of automatic speech recognition (ASR). Moreover, FL does not inherently guarantee user privacy and requires the use… Read More »Federated Learning With Differential Privacy for End-to-End Speech Recognition Apple Machine Learning Research

Apple Researchers Propose LazyLLM: A Novel AI Technique for Efficient LLM Inference in Particular under Long Context Scenarios Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) have made a significant leap in recent years, but their inference process faces challenges, particularly in the prefilling stage. The primary issue lies in the time-to-first-token (TTFT), which can be slow for long prompts due to the deep and wide… Read More »Apple Researchers Propose LazyLLM: A Novel AI Technique for Efficient LLM Inference in Particular under Long Context Scenarios Mohammad Asjad Artificial Intelligence Category – MarkTechPost

Progressive Learning Framework for Enhancing AI Reasoning through Weak-to-Strong Supervision Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” As large language models surpass human-level capabilities, providing accurate supervision becomes increasingly difficult. Weak-to-strong learning, which uses a less capable model to enhance a stronger one, offers potential benefits but needs testing for complex reasoning tasks. This method currently lacks efficient techniques to prevent… Read More »Progressive Learning Framework for Enhancing AI Reasoning through Weak-to-Strong Supervision Sana Hassan Artificial Intelligence Category – MarkTechPost

Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs Rashmica Gopinath AWS Machine Learning Blog

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​[[{“value”:” In today’s digital landscape, the protection of personally identifiable information (PII) is not just a regulatory requirement, but a cornerstone of consumer trust and business integrity. Organizations use advanced natural language detection services like Amazon Lex for building conversational interfaces and Amazon CloudWatch for… Read More »Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs Rashmica Gopinath AWS Machine Learning Blog

Google AI Introduces NeuralGCM: A New Machine Learning (ML) based Approach to Simulating Earth’s Atmosphere Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” General circulation models (GCMs) form the backbone of weather and climate prediction, leveraging numerical solvers for large-scale dynamics and parameterizations for smaller-scale processes like cloud formation. Despite continuous improvements, GCMs face significant challenges, including persistent errors, biases, and uncertainties in long-term climate projections and… Read More »Google AI Introduces NeuralGCM: A New Machine Learning (ML) based Approach to Simulating Earth’s Atmosphere Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

AWS AI chips deliver high performance and low cost for Llama 3.1 models on AWS John Gray AWS Machine Learning Blog

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​[[{“value”:” Today, we are excited to announce AWS Trainium and AWS Inferentia support for fine-tuning and inference of the Llama 3.1 models. The Llama 3.1 family of multilingual large language models (LLMs) is a collection of pre-trained and instruction tuned generative models in 8B, 70B,… Read More »AWS AI chips deliver high performance and low cost for Llama 3.1 models on AWS John Gray AWS Machine Learning Blog

Use Llama 3.1 405B to generate synthetic data for fine-tuning tasks Sebastian Bustillo AWS Machine Learning Blog

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​[[{“value”:” Today, we are excited to announce the availability of the Llama 3.1 405B model on Amazon SageMaker JumpStart, and Amazon Bedrock in preview. The Llama 3.1 models are a collection of state-of-the-art pre-trained and instruct fine-tuned generative artificial intelligence (AI) models in 8B, 70B,… Read More »Use Llama 3.1 405B to generate synthetic data for fine-tuning tasks Sebastian Bustillo AWS Machine Learning Blog

Llama 3.1 models are now available in Amazon SageMaker JumpStart Saurabh Trikande AWS Machine Learning Blog

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​[[{“value”:” Today, we are excited to announce that the state-of-the-art Llama 3.1 collection of multilingual large language models (LLMs), which includes pre-trained and instruction tuned generative AI models in 8B, 70B, and 405B sizes, is available through Amazon SageMaker JumpStart to deploy for inference. Llama… Read More »Llama 3.1 models are now available in Amazon SageMaker JumpStart Saurabh Trikande AWS Machine Learning Blog

Yandex Introduces TabReD: A New Benchmark for Tabular Machine Learning Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In recent years, research on tabular machine learning has grown rapidly. Yet, it still poses significant challenges for researchers and practitioners. Traditionally, academic benchmarks for tabular ML have not fully represented the complexities encountered in real-world industrial applications.  Most available datasets either lack the… Read More »Yandex Introduces TabReD: A New Benchmark for Tabular Machine Learning Asif Razzaq Artificial Intelligence Category – MarkTechPost

Medical Image Denoising with CNN Rabeya Tus Sadia Becoming Human: Artificial Intelligence Magazine – Medium

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​In this article, I will discuss different approaches to CT image denoising with CNN and some traditional approaches as well.Photo by Daniel Öberg on Unsplash Denoising CT images with Convolutional Neural Networks (CNNs) represents a significant advancement in medical imaging technology. CT (Computed Tomography) scans are invaluable… Read More »Medical Image Denoising with CNN Rabeya Tus Sadia Becoming Human: Artificial Intelligence Magazine – Medium