Corpus Synthesis for Zero-shot ASR Domain Adaptation using Large Language Models

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While Automatic Speech Recognition (ASR) systems are widely used in many real-world applications, they often do not generalize well to new domains and need to be finetuned on data from these domains. However, target-domain data is usually not readily available in many scenarios. In this paper, we propose a new strategy for adapting ASR models …

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The future of 5G: What to expect from this transformational technology

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Since its rollout in 2019, 5G wireless networks have been growing in both availability and use cases. Apple was one of the first manufacturers to test the appetite for 5G in 2020 by offering its newest iPhone with 5G compatibility. From there, the floodgates opened, and today as much as 62% of smartphones are built …

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Cappy: Outperforming and boosting large multi-task language models with a small scorer

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Posted by Yun Zhu and Lijuan Liu, Software Engineers, Google Research Large language model (LLM) advancements have led to a new paradigm that unifies various natural language processing (NLP) tasks within an instruction-following framework. This paradigm is exemplified by recent multi-task LLMs, such as T0, FLAN, and OPT-IML. First, multi-task data is gathered with each …

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The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype

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This is a guest post co-written with Scott Gutterman from the PGA TOUR. Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval. Given the data sources, LLMs provided tools …

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Dive deeper into Gemini with BigQuery and Vertex AI

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Traditional barriers between data and AI teams can hinder innovation. Often, these disciplines operate separately and use disparate tools, leading to data silos, redundant data copies, data governance overhead and cost challenges. From an AI implementation perspective, this increases security risks and leads to failed ML deployments and a lower rate of ML models reaching …

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AI will change the world—the terms are up to us

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IBM at the B7 We are living in a watershed moment for AI: the European Parliament has just voted on the EU AI Act, which will regulate and govern the use and implications of this technology. In turn, governments and enterprises are getting ready to set their own standards around AI. AI featured in the …

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Gemma is now available in Amazon SageMaker JumpStart 

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Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on Google’s Gemini models, trained on up to 6 trillion tokens of text. The Gemma family consists of two sizes: a 7 billion parameter model and a 2 billion parameter model. Now, …

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How FibroGen achieved 40x ROI by automating invoice processing

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The small accounts payable (AP) team at FibroGen, a biotech focused on developing therapies for chronic and life-threatening conditions, has been inundated with vendor invoices. Despite a recent SAP implementation that streamlined many operations, invoice processing has remained stubbornly manual and time-consuming. FibroGen receives about 1,000 invoices per month. With a two-person AP team and …

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