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Researchers at Microsoft AI have engineered an advanced model named ResLoRA to enhance Low-Rank Adaptation (LoRA).

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 7, 202440Views0Likes0Comments
Researchers from the School of Computer Science and Engineering at Beihang University in Beijing, China, and Microsoft have developed an improved framework for Low-rank Adaptation (LoRA), known as ResLoRA. Improving LoRA is necessary to address the challenge of high costs which are incurred when fine-tuning Large Language Models (LLMs) on specific datasets, due to their…

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Researchers from NVIDIA have unveiled Nemotron-4 15B, a massive multilingual language model with 15 billion parameters, which has been trained on 8 trillion text tokens.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 7, 202441Views0Likes0Comments
The development of artificial intelligence models that can handle both human language and code has been a significant focus for researchers. The goal is to create models that break down linguistic barriers and facilitate more intuitive interactions between humans and machines. This challenge encompasses understanding multiple languages and the intricate syntax and semantics of programming…

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Top AI Applications for Learners (March 2026)

AI Shorts, AI Tool, Applications, Artificial Intelligence, Editors Pick, List, Staff, Tech News, Technology, UncategorizedMarch 7, 202430Views0Likes0Comments
Artificial intelligence (AI) is revolutionizing the educational experience and is expected to reach a market valuation of several billion dollars in the coming years. AI applications in education range from interactive virtual classrooms, "smart content" generation, linguistic barrier removal, knowledge gap closing, to individualized lesson plans for students. Numerous businesses are developing AI technologies to…

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Transforming Long-Duration Multivariable Time-Series Prediction: Presenting PDETime, a Unique Machine Learning Strategy Utilizing Neural PDE Solvers for Matchless Precision

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 7, 202434Views0Likes0Comments
A team of researchers from the Harbin Institute of Technology, Huawei Technologies Ltd, Squirrel AI, Meta AI, and Fudan University have developed a groundbreaking model for multivariate time series forecasting called PDETime. Traditional forecasting models, used in various applications from weather prediction to energy management, tend to rely on historical data and simple time-index features,…

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Utilizing Practical Data to Reveal Cancer Treatments Outside the Label and Guidelines: Learnings from an All-embracing Data Science Method.

Editors Pick, Staff, Tech News, UncategorizedMarch 7, 202438Views0Likes0Comments
Cancer therapy has always been a field of intense research which is constantly seeking new treatments to improve the outcomes of patients. A critical aspect of this field is the frequent use of off-label and off-guideline usage treatments. These treatments are not officially approved or recommended by standard guidelines but have provided a lifeline to…

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Stanford researchers present Score Entropy Discrete Diffusion (SEDD): A machine learning model that contests the autoregressive language pattern and outperforms GPT-2 in terms of complexity and quality.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 7, 202436Views0Likes0Comments
Artificial Intelligence (AI) and Deep Learning have made significant advancements, particularly in the area of generative modelling, a subfield of Machine Learning. Here, models are trained to produce new data samples that match the training data. Generative AI systems have shown remarkable capabilities, such as creating images from written descriptions and solving complex problems. Autoregressive…

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Introducing PlanGPT: The Pioneering Large-Scale Language Model Framework for Tackling Challenges in Urban Planning and Spatial Development.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 7, 202438Views0Likes0Comments
The urban and spatial planning sector is a rapidly evolving field that increasingly requires the integration of advanced technology. This not only expedites planning processes, but also improves the precision and efficacy of urban development strategies. Amid this technological revolution, the advent of specialised large language models (LLMs), designed for specific industries, has occurred. This…

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45 Categories of Business Expenditure for Enterprises & New Ventures

Nanonets, UncategorizedMarch 7, 202438Views0Likes0Comments
Business expense categories are a systematic classification of costs incurred during the operation of a business, designed to track financial outflows for purposes like tax preparation, budgeting, and financial analysis. This categorization helps businesses manage their finances more efficiently by providing insights into spending patterns and identifying potential tax deductions. It is crucial for businesses…

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Understanding the Function of an LLM, Effective Usage, and Collaboration methods | Authored by Stefan Kojouharov | March, 2024.

Human AI, UncategorizedMarch 7, 202441Views0Likes0Comments
Large Language Models (LLMs) are rapidly becoming an integral part of our digitally connected world. However, common misconceptions about how they work may impede a true understanding of their functionality and limitations. An LLM is not a program nor a knowledge base, neither does it tap into an existing database of knowledge. Instead, it operates…

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Meta AI Launches Priority Sampling: Advancing Machine Learning with Definite Code Production

ML News, UncategorizedMarch 7, 202445Views0Likes0Comments
Large language models (LLMs) are powerful tools often used in tasks like code generation, language translation, writing unit tests, and debugging. Innovations such as CodeLlama, ChatGPT, and Codex have considerably improved the coding experience, with abilities like code manipulation. Even more, some models like AlphaCode are pretrained on competitive programming tasks to optimize code at…

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Marco Peixeiro’s 2024 Article: Redesigning an LLM for Predictions on Time Series Data

Data Science, UncategorizedMarch 7, 202438Views0Likes0Comments
Time series forecasting is important in many sectors, including finance, weather, and health, as it enables predictions based on past patterns. While traditional methods like ARIMA and exponential smoothing are popular, they often fall short in complex and large-scale forecasting tasks. Herein lies the role of natural language processing (NLP), and more specifically large language…

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