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​[[{“value”:” In the realm of artificial intelligence, multilingual speech recognition and translation have become essential tools for facilitating global communication. However, developing models that can accurately transcribe and translate multiple languages in real-time presents significant challenges. These challenges include managing diverse linguistic nuances, maintaining high… Read More »NVIDIA AI Just Open Sourced Canary 1B and 180M Flash – Multilingual Speech Recognition and Translation Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The widespread adoption of Large Language Models (LLMs) has significantly changed the landscape of content creation and consumption. However, it has also introduced critical challenges regarding accuracy and factual reliability. The content generated by LLMs often includes claims that lack proper verification, potentially leading… Read More »Microsoft AI Introduces Claimify: A Novel LLM-based Claim-Extraction Method that Outperforms Prior Solutions to Produce More Accurate, Comprehensive, and Substantiated Claims from LLM Outputs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As AWS environments grow in complexity, troubleshooting issues with resources can become a daunting task. Manually investigating and resolving problems can be time-consuming and error-prone, especially when dealing with intricate systems. Fortunately, AWS provides a powerful tool called AWS Support Automation Workflows, which is… Read More »Streamline AWS resource troubleshooting with Amazon Bedrock Agents and AWS Support Automation Workflows Wael Dimassi AWS Machine Learning Blog

​[[{“value”:” Today we are announcing that general availability of Amazon Bedrock in Amazon SageMaker Unified Studio. Companies of all sizes face mounting pressure to operate efficiently as they manage growing volumes of data, systems, and customer interactions. Manual processes and fragmented information sources can create… Read More »Create generative AI agents that interact with your companies’ systems in a few clicks using Amazon Bedrock in Amazon SageMaker Unified Studio Jady Liu AWS Machine Learning Blog

​[[{“value”:” Asure, a company of over 600 employees, is a leading provider of cloud-based workforce management solutions designed to help small and midsized businesses streamline payroll and human resources (HR) operations and ensure compliance. Their offerings include a comprehensive suite of human capital management (HCM)… Read More »Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight Suren Gunturu AWS Machine Learning Blog

​[[{“value”:” Gartner predicts that “by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023.” The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling. Enterprises… Read More »Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights Wrick Talukdar AWS Machine Learning Blog

​This post is in three parts; they are: • Building a simple Q&A system • Handling Large Contexts • Building an Expert System Question and answering system is not just to throw a question at a model and get an answer. This post is in three… Read More »Building Q&A Systems with DistilBERT and Transformers Muhammad Asad Iqbal Khan MachineLearningMastery.com

​Be sure to check out the previous articles in this series: •  Be sure to check out the previous articles in this series: •  Read More  

​[[{“value”:” The roots of many of NVIDIA’s landmark innovations — the foundational technology that powers AI, accelerated computing, real-time ray tracing and seamlessly connected data centers — can be found in the company’s research organization, a global team of around 400 experts in fields including… Read More »Innovation to Impact: How NVIDIA Research Fuels Transformative Work in AI, Graphics and Beyond Isha Salian – Archives Page 1 | NVIDIA Blog

​[[{“value”:” In today’s information-rich world, finding relevant documents quickly is crucial. Traditional keyword-based search systems often fall short when dealing with semantic meaning. This tutorial demonstrates how to build a powerful document search engine using: Hugging Face’s embedding models to convert text into rich vector… Read More »A Coding Implementation to Build a Document Search Agent (DocSearchAgent) with Hugging Face, ChromaDB, and Langchain Asif Razzaq Artificial Intelligence Category – MarkTechPost