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AURORA-M: A global, open-source AI model with 15 billion parameters, trained in several languages, including English, Finnish, Hindi, Japanese, the Vietnamese and Code.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Multimodal AI, Staff, Tech News, Technology, UncategorizedApril 8, 202440Views0Likes0Comments
The impressive advancements that have been seen in artificial intelligence, specifically in Large Language Models (LLMs), have seen them become a vital tool in many applications. However, the high cost associated with the computational power needed to train these models has limited their accessibility, stifling wider development. There have been several open-source resources attempting to…

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Effector: A Machine Learning Library Built on Python, Focused on Regional Feature Effects

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 8, 202446Views0Likes0Comments
Effector is a new Python library developed to address the limitations of traditional methods used to explain black-box models. Current global feature effect methods, including Partial Dependence Plots (PDP) and SHAP Dependence Plots, often fall short in explaining such models, especially when feature interactions or non-uniform local effects occur, resulting in potentially misleading interpretations. To overcome…

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Researchers in Artificial Intelligence at Google suggest a training approach referred to as the Noise-Aware Training Technique (NAT) for Language Models that understand layouts.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 8, 202433Views0Likes0Comments
Visually rich documents (VRDs) such as invoices, utility bills, and insurance quotes present unique challenges in terms of information extraction (IE). The varied layouts and formats, coupled with both textual and visual properties, require complex, resource-intensive solutions. Many existing strategies rely on supervised learning, which necessitates a vast pool of human-labeled training samples. This not…

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ST-LLM: An Efficient Video-LLM Framework Incorporating Spatial-Temporal Sequence Modeling within LLM

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 8, 202439Views0Likes0Comments
Artificial general intelligence has advanced significantly, thanks in part to the capabilities of Large Language Models (LLMs) such as GPT, PaLM, and LLaMA. These models have shown impressive knowledge and generation of natural language, highlighting the direction of future AI. However, while LLMs excel at text processing, video processing with complex temporal information remains a…

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LASP: A Streamlined Machine Learning Technique Specifically Designed for Linear Attention-Based Linguistic Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 8, 202436Views0Likes0Comments
Researchers from the Shanghai AI Laboratory and TapTap have developed a Linear Attention Sequence Parallel (LASP) technique that optimizes sequence parallelism on linear transformers, side-stepping the limitations led by the memory capacity of a single GPU. Large language models, due to their significant size and long sequences, can place a considerable strain on graphical unit…

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IsoBench: A Benchmark Dataset for Artificial Intelligence covering Four Broad Domains: Mathematics, Science, Algorithms, and Gaming.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 8, 202440Views0Likes0Comments
Large language models and multimodal foundation models like GPT4V, Claude, and Gemini, that blend visual encoders and language models, have made profound strides in the realms of Natural Language Processing (NLP) and Natural Language Generation (NLG). They show impressive performance when working with text-only inputs or a combination of image and text-based inputs. Nonetheless, queries…

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SILO AI Unveils Upcoming Viking Model Family: A Freely Available Language Model for Nordic languages, English, and Coding Languages.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, New Releases, Staff, Tech News, Technology, UncategorizedApril 8, 202441Views0Likes0Comments
Artificial intelligence (AI) continues to make significant strides forward with the development of Viking, a cutting-edge language model designed to cater to Nordic languages alongside English and a range of programming languages. Developed by Silo AI, Europe's largest private AI lab in partnership with the TurkuNLP research group at the University of Turku and HPLT,…

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Strategies for Successful Database Management and Integration Using APIs

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 8, 202454Views0Likes0Comments
API (Application Programming Interface) strategies are crucial for successful database management and integration in today's rapidly changing digital landscape. These strategies allow businesses to fuse diverse applications and databases, enabling operational efficiency, insightful data analysis, and superior customer experiences. APIs act as a bridge, facilitating interaction between applications and databases without needing to understand the underlying…

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Consolidating Neural Network Development using Category Theory: An All-Encompassing Structure for Deep Learning Design

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Deep Learning, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 7, 202440Views0Likes0Comments
Deep learning researchers have long been grappling with the challenge of designing a unifying framework for neural network architectures. Existing models are typically defined by a set of constraints or a series of operations they must execute. While both these approaches are beneficial, what's been lacking is a unified system that seamlessly integrates these two…

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NAVER Cloud’s research team presents HyperCLOVA X: A Multilingual Language Model specially designed for the Korean language and culture.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 7, 202444Views0Likes0Comments
The development of large language models (LLMs) has historically been English-centric. While this has often proved successful, it has struggled to capture the richness and diversity of global languages. This issue is particularly pronounced with languages such as Korean, which boasts unique linguistic structures and deep cultural contexts. Nevertheless, the field of artificial intelligence (AI)…

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This research on Machine Learning presents a structure known as Mechanistic Architecture Design (MAD) pipeline, which integrates unit tests for small-scale capacities that can predict scaling laws.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Deep Learning, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 7, 202439Views0Likes0Comments
Deep learning architectures require substantial resources due to their vast design space, lengthy prototyping periods, and high computational costs related to large-scale model training and evaluation. Traditionally, improvements in architecture have come from heuristic and individual experience-driven development processes, as opposed to systematic procedures. This is further complicated by the combinatorial explosion of possible designs…

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