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GENAUDIT: An AI-Based Instrument Assisting Users in Validating Facts and Comparing Machine-Learned Outputs with Evidence-Backed Inputs

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 18, 202439Views0Likes0Comments
Recent developments in Artificial Intelligence (AI), particularly in Generative AI, have proven the capacities of Large Language Models (LLMs) to generate human-like text in response to prompts. These models are proficient in tasks such as answering questions, summarizing long paragraphs, and more. However, even provided with reference materials, they can generate errors which could have…

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Rethinking Efficiency: Beyond the Optimal Computation Training for Language Model Performance Prediction in Subsequent Tasks.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 18, 202436Views0Likes0Comments
Scaling laws in artificial intelligence are fundamental in the development of Large Language Models (LLMs). These laws play the role of a director, coordinating the growth of models while revealing patterns of development that go beyond mere computation. With every new step, the models become more nuanced, accurately deciphering the complexities of human expression. Scaling…

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This Artificial Intelligence study introduces ScatterMoE, a GPU-based application of Sparse Mixture-of-Experts (SMoE) in Machine Learning.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 18, 202432Views0Likes0Comments
The Sparse Mixture of Experts (SMoEs) has become popular as a method of scaling models, particularly in memory-restricted environments. They are crucial to the Switch Transformer and Universal Transformers, providing efficient training and inference. However, some limitations exist with current implementations of SMoEs, such as a lack of GPU parallelism and complications related to tensor…

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The search algorithm uncovers almost 200 novel types of CRISPR systems.

Algorithms, Artificial Intelligence, Bacteria, Biological engineering, Biology, Brain and cognitive sciences, Broad Institute, Computational biology, Computer science and technology, CRISPR, Data, DNA, Genetic engineering, Genome, Genome editing, McGovern Institute, Microbes, National Institutes of Health (NIH), Research, RNA, School of Engineering, School of Science, UncategorizedMarch 18, 202448Views0Likes0Comments

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Introducing Devin, the world’s first completely self-reliant AI software engineer, as disclosed by Cognition.

AI News, Artificial Intelligence, Cognition, Devin AI, UncategorizedMarch 18, 202443Views0Likes0Comments
US-based startup Cognition has introduced Devin, the world's first fully autonomous AI software engineer on March 17, 2024. Devin harnesses AI power capable of resolving engineering tasks independently with its built-in shell, code editor, and web browser. One of the key features of Devin is its proficiency in fixing bugs on GitHub autonomously. Cognition has demonstrated…

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KAIST researchers push boundaries in AI cognition with their MoAI Model, effectively utilizing outside computer vision knowledge to connect the difference between visual perception and comprehension. This could potentially shape the future of artificial intelligence.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 18, 202438Views0Likes0Comments
The intersection of Artificial Intelligence's (AI) language understanding and visual perception is evolving rapidly, pushing the boundaries of machine interpretation and interactivity. A group of researchers from the Korea Advanced Institute of Science and Technology (KAIST) has stepped forward with a significant contribution in this dynamic area, a model named MoAI. MoAI represents a new…

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This article presents AQLM, a machine learning procedure that aids in the significant reduction of sizable language models through additive quantization.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 18, 202436Views0Likes0Comments
The development of effective large language models (LLMs) remains a complex problem in the realm of artificial intelligence due to the challenge of balancing size and computational efficiency. Minimizing these issue, a strategy called Additive Quantization for Language Models (AQLM) has been introduced by researchers from institutions such as HSE University, Yandex Research, Skoltech, IST…

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GeFF: Transforming Robot Awareness and Activity through Scene-Level Generalizable Neural Feature Fields

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Robotics, Staff, Tech News, Technology, UncategorizedMarch 18, 202439Views0Likes0Comments
As you walk down a buzzing city street, the hum of a passing object draws your attention. It's a small, automated delivery robot navigating quickly and nimbly among pedestrians and urban obstacles. It's not a scene from a science fiction film, but a demonstration of the innovative technology called Generalizable Neural Feature Fields (GeFF). This…

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The search algorithm has uncovered almost 200 new types of CRISPR systems.

Algorithms, Artificial Intelligence, Bacteria, Biological engineering, Biology, Brain and cognitive sciences, Broad Institute, Computational biology, Computer science and technology, CRISPR, Data, DNA, Genetic engineering, Genome, Genome editing, McGovern Institute, Microbes, National Institutes of Health (NIH), Research, RNA, School of Engineering, School of Science, UncategorizedMarch 18, 202440Views0Likes0Comments
Scientists from the McGovern Institute for Brain Research at MIT, the Broad Institute of MIT and Harvard, and the National Center for Biotechnology Information at the National Institutes of Health, have developed a new search algorithm to find enzymes of interest in vast microbial sequence databases. This algorithm, called Fast Locality-Sensitive Hashing-based clustering (FLSHclust), discovered…

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Apple has unveiled the MM1, a series of multimodal LLMs with up to 30 billion parameters, that have set a new standard in pre-training metrics and demonstrate competitive performance after the fine-tuning process.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 17, 202436Views0Likes0Comments
Recent advancements in research have significantly built up the capabilities of Multimodal Large Language Models (MLLMs) to incorporate complex visual and textual data. Researchers are now providing detailed insights into the architectural design, data selection, and methodology transparency of MLLMs that offer heightened comprehension of how these models function. Highlighting the crucial tasks performed by…

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Stanford University researchers demonstrate ‘pyvene’: a freely accessible Python library that promotes intervention-oriented studies on Machine Learning Models.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 17, 202442Views0Likes0Comments
Stanford University researchers are pushing the boundaries of artificial intelligence (AI) with the introduction of "pyvene," an innovative, open-source Python library designed to advance intervention-based research on machine learning models. As AI technology evolves, so does the need to refine and understand these advancement's underlying processes. Pyvene is an answer to this demand, propelling forward…

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Introducing VidProM: Forging Ahead in the Future of Text-to-Video Broadcasting through a Revolutionary Dataset

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 17, 202433Views0Likes0Comments
Text-to-video diffusion models are revolutionizing how individuals generate and interact with media. These advanced algorithms can produce engaging, high-definition videos just by using basic text descriptions, enabling the creation of scenes that vary from serene, picturesque landscapes to wild and imaginative scenarios. However, until now, the field's progress has been hindered by a lack of…

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