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DeepStack: Boosting Multimodal Structures using Layered Visual Token Assimilation for Exceptional High-Resolution Outcomes

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 12, 202427Views0Likes0Comments
Researchers from Fudan University and Microsoft have developed a novel architecture for language and vision models (LMMs), called "DeepStack." The DeepStack model takes a different approach to processing visual data, thereby improving overall computational efficiency and performance. Traditional LMMs typically integrate visual and textual data by converting images into visual tokens, which are then processed…

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“Teach-MusicGen: A Unique AI Method for Converting Text into Music while Enhancing Both Melodic and Literary Controls”

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Sound, Staff, Tech News, Technology, UncategorizedJune 12, 202437Views0Likes0Comments
Instruct-MusicGen, a new method for text-to-music editing, has been introduced by researchers from C4DM, Queen Mary University of London, Sony AI, and Music X Lab, MBZUAI. This new approach aims to optimize existing models that require significant resources and fail to deliver precise results. Instruct-MusicGen utilizes pre-trained models and innovative training techniques to accomplish high-quality…

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Improving the Safety and Dependability of AI via Short-Circuiting Methods

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 12, 202433Views0Likes0Comments
AI system vulnerabilities, particularly in large language models (LLMs) and multimodal models, can be manipulated to produce harmful outputs, raising questions about their safety and reliability. Existing defenses, such as refusal training and adversarial training, often fall short against sophisticated adversarial attacks and may degrade model performance. Addressing these limitations, a research team from Black…

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Insights Derived from AI on Molecular Evolution: From Gene Expression to Codon Usage in Natural Settings

AI Shorts, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 12, 202434Views0Likes0Comments
The study of evolution by natural selection at a molecular level has witnessed remarkable progress with the advent of genomic technologies. Traditionally, researchers focused on observable traits; however, gene expression offers deeper insights into selection pressures, bridging the gap between genomic data and macro traits. A recent study used RNA sequencing to analyze gene expression…

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Improving Efficiency of Large-scale Parallel Training with C4, Developed by Alibaba.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 12, 202439Views0Likes0Comments
Large Language Models (LLMs) such as GPT-3 and Llama face significant inefficiencies during large-scale training due to hardware failures and network congestion. These issues can lead to a substantial waste of GPU resources and extended training durations. Existing methods to address these challenges, which involve basic fault tolerance and traffic management strategies, are often inefficient…

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Is it Possible for Machines to Plan Like Humans? NATURAL PLAN Provides Insight Into the Capabilities and Limitations of Advanced Language Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 11, 202426Views0Likes0Comments
Natural Language Processing (NLP) aims to enable computers to understand and generate human language, facilitating human-computer interaction. Despite advancements in NLP, large language models (LLMs) often fall short when it comes to complex planning tasks, such as decision-making and organizing actions - abilities crucial in a diverse array of applications from daily tasks to strategic…

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