AI

The concept of Mixture-of-Experts (MoE) has gained significant traction in the world of large language models (LLMs) as a means of scaling without incurring exponentially high computational costs. Unlike traditional models that utilize the full capacity for every input, MoE architectures direct data to specialized “expert” modules, allowing LLMs to expand their parameters while keeping
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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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Khanmigo, an AI tutor, takes a unique approach to answering student questions by starting with questions of its own. Instead of giving direct answers, it guides students to find solutions step by step, providing hints and encouragement along the way. While Khan Academy envisions “amazing” personal tutors for every student, DiCerbo emphasizes Khanmigo’s role in
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Artists pour their heart and soul into their creations, only to have their work stolen and profited off by others. The feeling of devastation when seeing your art being used without permission is indescribable. Artist Jödicke expressed this sentiment when he stated, “I almost wanted to give up on my art, because I felt so
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The world of artificial intelligence (AI) has undergone a significant paradigm shift, moving from a background technology to a frontstage disruptor. The current phase of generative AI, known as Gen AI, is already seeing widespread adoption by consumers and organizations alike. This new wave of AI has the potential to completely revolutionize the way businesses
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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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