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Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock Michael Shapira AWS Machine Learning Blog

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​[[{“value”:” At Amazon and AWS, we are always finding innovative ways to build inclusive technology. With voice assistants like Amazon Alexa, we are enabling more people to ask questions and get answers on the spot without having to type. Whether you’re a person with a… Read More »Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock Michael Shapira AWS Machine Learning Blog

Maintain access and consider alternatives for Amazon Monitron Stuart Gillen AWS Machine Learning Blog

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​[[{“value”:” Amazon Monitron, the Amazon Web Services (AWS) machine learning (ML) service for industrial equipment condition monitoring, will no longer be available to new customers effective October 31, 2024. Existing customers of Amazon Monitron will be able to purchase devices and use the service as… Read More »Maintain access and consider alternatives for Amazon Monitron Stuart Gillen AWS Machine Learning Blog

Exploring LightGBM: Leaf-Wise Growth with GBDT and GOSS Vinod Chugani MachineLearningMastery.com

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​[[{“value”:” LightGBM is a highly efficient gradient boosting framework. It has gained traction for its speed and performance, particularly with large and complex datasets. Developed by Microsoft, this powerful algorithm is known for its unique ability to handle large volumes of data with significant ease… Read More »Exploring LightGBM: Leaf-Wise Growth with GBDT and GOSS Vinod Chugani MachineLearningMastery.com

Google Releases FRAMES: A Comprehensive Evaluation Dataset Designed to Test Retrieval-Augmented Generation (RAG) Applications on Factuality, Retrieval Accuracy, and Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Retrieval-augmented generation (RAG) has been a transformative approach in natural language processing, combining retrieval mechanisms with generative models to enhance factual accuracy and reasoning capabilities. RAG systems excel in generating complex responses by leveraging external sources and synthesizing the retrieved information into coherent narratives.… Read More »Google Releases FRAMES: A Comprehensive Evaluation Dataset Designed to Test Retrieval-Augmented Generation (RAG) Applications on Factuality, Retrieval Accuracy, and Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost

‘bge-en-icl’: A Novel AI Model that Employs Few-Shot Examples to Produce High-Quality Text Embeddings Aswin Ak Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Generating versatile and high-quality text embeddings across various tasks is a significant challenge in natural language processing (NLP). Current embedding models, despite advancements, often struggle to handle unseen tasks and complex retrieval operations effectively. These limitations hinder their ability to adapt dynamically to diverse… Read More »‘bge-en-icl’: A Novel AI Model that Employs Few-Shot Examples to Produce High-Quality Text Embeddings Aswin Ak Artificial Intelligence Category – MarkTechPost

NotebookLM Introduces Audio and YouTube Integration, Enhances Audio Overview Sharing Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” NotebookLM is a powerful AI research assistant developed by Google to help users understand complex information. It can summarize sources, provide relevant quotes, and answer questions based on uploaded documents. Bu now NotebookLM has been enhanced with new features that allow it to process… Read More »NotebookLM Introduces Audio and YouTube Integration, Enhances Audio Overview Sharing Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

Ten Effective Strategies to Lower Large Language Model (LLM) Inference Costs Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) have become a cornerstone in artificial intelligence, powering everything from chatbots and virtual assistants to advanced text generation and translation systems. Despite their prowess, one of the most pressing challenges associated with these models is the high cost of inference.… Read More »Ten Effective Strategies to Lower Large Language Model (LLM) Inference Costs Sana Hassan Artificial Intelligence Category – MarkTechPost

RanDumb: A Simple Yet Powerful AI Approach to Exemplar-Free Continual Learning Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Continual learning is a rapidly evolving area of research that focuses on developing models capable of learning from sequentially arriving data streams, similar to human learning. It addresses the challenges of adapting to new information while retaining previously acquired knowledge. This field is particularly… Read More »RanDumb: A Simple Yet Powerful AI Approach to Exemplar-Free Continual Learning Nikhil Artificial Intelligence Category – MarkTechPost

This AI Paper from Google Unveils How Bayesian Neural Fields Revolutionize Spatiotemporal Forecasting for Large Datasets Aswin Ak Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” One of the central challenges in spatiotemporal prediction is efficiently handling the vast and complex datasets produced in diverse domains such as environmental monitoring, epidemiology, and cloud computing. Spatiotemporal datasets consist of time-evolving data observed at different spatial locations, making their analysis critical for… Read More »This AI Paper from Google Unveils How Bayesian Neural Fields Revolutionize Spatiotemporal Forecasting for Large Datasets Aswin Ak Artificial Intelligence Category – MarkTechPost

Industries in Focus: Machine Learning for Cybersecurity Threat Detection Vinod Chugani MachineLearningMastery.com

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​[[{“value”:” Cybersecurity threats are becoming increasingly sophisticated and numerous. To address these challenges, the industry has turned to machine learning (ML) as a tool for detecting and responding to cyber threats. This article explores five key ML models that are making an impact in cybersecurity… Read More »Industries in Focus: Machine Learning for Cybersecurity Threat Detection Vinod Chugani MachineLearningMastery.com