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Scientists from KAUST and Harvard have developed MiniGPT4-Video: A new Multimodal Large Language Model (LLM) tailored primarily for video comprehension.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 9, 202435Views0Likes0Comments
In the fast-paced digital world, the integration of visual and textual data for advanced video comprehension has emerged as a key area of study. Large Language Models (LLMs) play a vital role in processing and generating text, revolutionizing the way we engage with digital content. But, traditionally, these models are designed to be text-centric, and…

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MeetKai Introduces Functionary-V2.4: A Substitute for OpenAI Function Invocation Models

AI Shorts, Applications, Artificial Intelligence, Editors Pick, New Releases, Staff, Tech News, Technology, UncategorizedApril 9, 202440Views0Likes0Comments
MeetKai, a leading artificial intelligence (AI) company, has launched Functionary-small-v2.4 and Functionary-medium-v2.4, new deep learning models that offer significant improvements in the field of Large Language Models (LLMs). These advanced versions showcase the company's focus on enhancing the practical application of AI and open-source models. Designed for boosting real-world applications and utility, Functionary 2.4 sets itself…

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Introducing Sailor: A group of unrestricted language models spanning from 0.5B to 7B parameters designed for Southeast Asian (SEA) languages.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 9, 202436Views0Likes0Comments
Large Language Models (LLMs) have gained immense technological prowess over the recent years, thanks largely to the exponential growth of data on the internet and ongoing advancements in pre-training methods. Despite their progress, LLMs' dependency on English datasets limits their performance in other languages. This challenge, known as the "curse of multilingualism," suggests that models…

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Leading AI Resources for Developing Your Extensive Language Model (LLM) Applications

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 9, 202437Views0Likes0Comments
Developers and data scientists who use Large Language Models (LLMs) such as GPT-4 to leverage their AI capabilities often need tools to help navigate the complex processes involved. A selection of these crucial tools are highlighted here. Hugging Face extends beyond its AI platform to offer a comprehensive ecosystem for hosting AI models, sharing datasets,…

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Scientists at Tsinghua University have suggested a new Artificial Intelligence structure called SPMamba. This architecture, which is deeply grounded on state-space models, aims to improve audio clarity in environments with multiple speakers.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Sound, Staff, Tech News, Technology, UncategorizedApril 9, 202436Views0Likes0Comments
In the field of audio processing, the ability to separate overlapping speech signals amidst noise is a challenging task. Previous approaches, such as Convolutional Neural Networks (CNNs) and Transformer models, while groundbreaking, have faced limitations when processing long-sequence audio. CNNs, for instance, are constrained by their local receptive capabilities while Transformers, though skillful at modeling…

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SiloFuse: Advancing Artificial Data Creation in Distributed Networks with Improved Privacy, Productivity, and Data Usefulness

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 8, 202437Views0Likes0Comments
Data is as valuable as currency in today's world, leading many industries to face the challenge of sharing and enhancing data across various entities while also protecting privacy norms. Synthetic data generation has provided organizations with a means to overcome privacy obstacles and unlock potential for collaborative innovation. This is especially relevant in distributed systems,…

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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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