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Spectrum: An Artificial Intelligence Technique that Enhances LLM Training by Specifically Focusing on Layer Modules Depending on their Signal-to-Noise Ratio (SNR)

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 4, 202450Views0Likes0Comments
Large language models (LLMs) are essential for natural language processing (NLP), but they demand significant computational resources and time for training. This requirement presents a key challenge in both research and application of LLMs. The challenge lies in efficiently training these huge models without compromising their performance. Several approaches have been developed to address this issue.…

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NASA and IBM scientists present INDUS: A collection of large, domain-specific language models designed for sophisticated scientific research.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 4, 202452Views0Likes0Comments
Large Language Models (LLMs) have proven highly competent in generating and understanding natural language, thanks to the vast amounts of data they're trained on. Predominantly, these models are used with general-purpose corpora, like Wikipedia or CommonCrawl, which feature a broad array of text. However, they sometimes struggle to be effective in specialized domains, owing to…

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Researchers from NASA and IBM Present INDUS: A Collection of Specific Large Language Models (LLMs) for Progressive Scientific Research.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 4, 202454Views0Likes0Comments
Large Language Models (LLMs) are typically trained on large swaths of data and demonstrate effective natural language understanding and generation. Unfortunately, they can often fail to perform well in specialized domains due to shifts in vocabulary and context. Seeing this deficit, researchers from NASA and IBM have collaborated to develop a model that covers multidisciplinary…

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A Basic Model-Free Open-Loop Baseline for Reinforcement Learning Mobility Tasks that Does Not Require Sophisticated Models or Computational Resources

AI Paper Summary, Editors Pick, Robotics, Staff, Tech News, UncategorizedJuly 4, 202452Views0Likes0Comments
Deep Reinforcement Learning (DRL) is advancing robotic control capabilities, albeit with a rising trend of algorithm complexity. These complexities lead to challenging implementation details, impacting the reproducibility of sophisticated algorithms. This issue, therefore, necessitates the need for simpler machine learning models that are not as computationally demanding. A team of international researchers from the German Aerospace…

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MIT researchers studying the implications and uses of generative AI have been awarded another round of seed funding.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 4, 202463Views0Likes0Comments
The MIT administration issued an open call for papers on generative AI, attracting 75 proposals above expectations. Following this, MIT's President, Sally Kornbluth, and Provost, Cynthia Barnhart, issued a second call for proposals which saw 53 submissions. Now, 16 of these submissions have been chosen by the faculty committee to receive exploratory funding for detailed…

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Caring Nurses: The Impact of AI-Powered Self-Care Instruments on Everyday Wellness

Artificial Intelligence, Clinical Decision Support, UncategorizedJuly 4, 202454Views0Likes0Comments
In the high-pressure, fast-paced world of healthcare, nurses represent the embodiment of dedication and compassion. They maneuver lengthy shifts, demanding tasks, and emotional strains, regularly prioritizing the welfare of others over themselves. However, a new era is emerging, introducing Artificial Intelligence (AI) driven self-care tools for nurses to support their mental health and overall well-being.…

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AI deciphers the evolution of birdwing butterflies, providing insights into evolutionary disputes.

Biology, Ethics & Society, Machine learning, UncategorizedJuly 4, 202464Views0Likes0Comments
A study conducted by the University of Essex and published in Communications Biology utilized artificial intelligence to shed light on the longstanding debate around the theory of evolution. While Charles Darwin believed sexual selection was responsible for the diverse appearances of males in a species, Alfred Russel Wallace contended that natural selection influenced both sexes…

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Scientists from the University of Toronto have unveiled a deep-learning model that surpasses the predictive capabilities of Google’s AI system for peptide structures.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 4, 202452Views0Likes0Comments
Peptides are involved in various biological processes and are instrumental in the development of new therapies. Understanding their conformations, i.e., the way they fold into their specific three-dimensional structures, is critical for their functional exploration. Despite the advancements in modeling protein structures, like with Google's AI system AlphaFold, the dynamic conformations of peptides remain challenging…

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Introducing BricksAI: An open-core AI Gateway designed to assist developers in incorporating all fundamental features required in any GenAI initiative.

AI Startups, Editors Pick, Staff, Tech News, UncategorizedJuly 4, 202458Views0Likes0Comments
Enterprise-level software often grapples with managing large language models (LLMs) due to a lack of robust methods in regulating such models' usage. Regularizing these expenditures per use, project, environment or feature can be tricky as it requires a detailed and intricate method for monitoring LLMs. In many cases, this could mean a diversion of technical…

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15 Practical Instances of LLM Usage in Various Sectors

Editors Pick, Staff, Tech News, UncategorizedJuly 4, 202445Views0Likes0Comments
Large Language Models (LLMs) have become crucial in various industries owing to their proficiency in natural language processing, content generation, and data analysis. They offer an array of applications for businesses, offering transformative impact across different sectors. More than ever, companies are harnessing LLMs in real-world scenarios. Netflix, for instance, has transitioned from traditional rule-based classifiers…

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Gibbs Diffusion (GDiff): An Innovative Bayesian Noisy Data Filtering Technique for Use in Image Cleaning and Cosmological Studies.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 4, 202451Views0Likes0Comments
The advancement of deep generative models has brought new challenges in denoising, specifically in blind denoising where noise level and covariance are unknown. To tackle this issue, a research team from Ecole Polytechnique, Institut Polytechnique de Paris, and Flatiron Institute developed a novel method called the Gibbs Diffusion (GDiff) approach. The GDiff approach is a fresh…

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