Construction of Paired Knowledge Graph – Text Datasets Informed by Cyclic Evaluation

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Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be used to train forward and reverse neural models that generate text from KG and vice versa. However models trained on datasets where KG and text pairs are not equivalent can suffer from more hallucination and poorer recall. In this paper, we verify this …

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How IBM helps clients accelerate app modernization and control costs

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A large US-based healthcare company recently engaged with IBM® to accelerate their cloud adoption with consistent and predictable outcomes. This collaboration enhanced their confidence to navigate app modernization across various applications and landing zones for both hybrid cloud and platform-native modernization. As a healthcare company, this client had an obligation to provide safe, reliable, time-sensitive, …

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HEAL: A framework for health equity assessment of machine learning performance

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Posted by Mike Schaekermann, Research Scientist, Google Research, and Ivor Horn, Chief Health Equity Officer & Director, Google Core Health equity is a major societal concern worldwide with disparities having many causes. These sources include limitations in access to healthcare, differences in clinical treatment, and even fundamental differences in the diagnostic technology. In dermatology for …

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Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

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In today’s landscape of one-on-one customer interactions for placing orders, the prevailing practice continues to rely on human attendants, even in settings like drive-thru coffee shops and fast-food establishments. This traditional approach poses several challenges: it heavily depends on manual processes, struggles to efficiently scale with increasing customer demands, introduces the potential for human errors, …

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Generative AI in insurance: How Cytora helps insurers prioritize underwriting risks

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Speed, convenience, and consistent control over risk selection and decision-making matter in the insurance industry. This is why forward-thinking insurers are investing considerably in AI and digital risk processing technologies that streamline large parts of their risk workflows. These investments help insurers to consistently identify and choose the risks they want to quote, and consequently …

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A system that allows home robots to cook in collaboration with humans

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Home robots could assist humans with the completion of various chores and manual tasks, ranging from washing dishes or doing the laundry to cooking, cleaning and tidying up. While many roboticists and computer scientists have tried to improve the skills of home robots in recent years, many of the robots developed so far are still …

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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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