Models

The integration of generative AI into enterprise search is revolutionizing how businesses handle vast amounts of data and complex contractual relationships. Elastic, a leader in enterprise search technology, introduced the Elasticsearch Relevance Engine (ESRE) in May 2023. This marked a significant shift in their search strategy, combining traditional keyword-based search methods with advanced vector search
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The Washington Post has recently unveiled a new AI chatbot called Climate Answers, designed to provide users with answers to questions about climate change, the environment, sustainable energy, and more. This innovative tool will be integrated into the outlet’s homepage, app, and articles, utilizing the vast amount of reporting available to generate responses to user
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The use of artificial intelligence (AI) in social platforms has been met with mixed responses. While some AI chatbots have not been well-received, others like “ChatGPT” have seen more positive feedback. Despite this, social platforms are increasingly convinced that generative AI will play a crucial role in future in-stream engagement. This push towards AI integration
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Recent rumors suggest that the upcoming Apple Watch Series 10 may feature a larger screen size, similar to the Apple Watch Ultra. This new screen could measure up to two inches, providing a more immersive display for users. Additionally, the Series 10 may come with a thinner case design, making it more sleek and comfortable
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Large Language Models (LLMs) have become increasingly popular tools for generating text in various domains, including scientific writing. However, the challenge lies in detecting whether a piece of writing has been generated using an LLM. A group of researchers has recently developed a novel method to estimate the usage of LLMs in scientific writing by
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Artificial intelligence (AI) agents have shown great promise in various research directions, but recent analysis by researchers at Princeton University has shed light on significant shortcomings in current agent benchmarks and evaluation practices. One of the key issues highlighted by the researchers is the lack of cost control in agent evaluations. Unlike evaluating single models,
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In the ever-evolving landscape of AI hardware, a new paradigm called neuromorphic computing is quietly revolutionizing the industry. While much attention is focused on large language models powered by Nvidia GPUs, the limitations of traditional deep learning architectures are becoming increasingly apparent. Neuromorphic systems, which aim to mimic the way biological brains process information, offer
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