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Applications

Improving the Scalability and Efficiency of AI Models: Research on the Multi-Head Mixture-of-Experts Approach

Large Language Models (LLMs) and Large Multi-modal Models (LMMs) are effective across various domains and tasks, but scaling up these models comes with significant computational costs and inference speed limitations. Sparse Mixtures of Experts (SMoE) can help to overcome these challenges by enabling model scalability while reducing computational costs. However, SMoE struggles with low expert…

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CATS (Contextually Aware Thresholding for Sparsity): An Innovative Machine Learning Structure for Triggering and Utilizing Activation Sparsity in LLMs.

Large Language Models (LLMs), while transformative for many AI applications, necessitate high computational power, especially during inference phases. This poses significant operational costs and efficiency challenges as the models become bigger and more intricate. Particularly, the computational expenses incurred when running these models at the inference stage can be intensive due to their dense activation…

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Pegasus-1, a multimodal language model specializing in video content comprehension and interaction using natural language, has been unveiled by Twelve Labs.

Pegasus-1 is a state-of-the-art multimodal Large Language Model (LLM) developed by Twelve Labs and designed to interact with and comprehend video content through natural language. The model is intended to overcome the complexities of video data, including the consideration of multiple modalities in one format and the understanding of the sequence and timeline of visual…

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Pegasus-1, a multimodal language model proficient in video content comprehension and interaction via natural language, has been unveiled by Twelve Labs.

Large Language Models (LLMs) with video content is a challenging area of ongoing study, with a notable advancement in this field being Pegasus-1. This innovative multimodal model is designed to comprehend, synthesize, and interact with video data using natural language. MarkTech Post explains that the purpose of Pegasus-1's creation was to manage the inherent complexity of…

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Incorporating the Final Consumer into the AI Perspective

With AI technology increasingly being used in business, it is crucial to involve end-users in the process. End-users are those individuals, often with no background in AI, who interact with the application in the course of their work. For this purpose, the open source team behind Taipy Enterprise Platform has developed a system of scenarios…

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JP Morgan AI Research has unveiled FlowMind, an innovative machine learning method that utilizes the functions of language models like GPT to develop a system for generating workflows automatically.

In the world of automated processes in modern industries, a new advancement has been introduced named FlowMind by JP Morgan AI Research. This research's primary focus is on implementing methods of automating tasks that require flexibility and spontaneous decision-making, unlike the conventional robotic process automation (RPA) systems that handle more static and routine activities. Traditional RPA…

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Top 10 Understandable AI (XAI) Platforms

The burgeoning complexity of AI systems, particularly opaque models like Deep Neural Networks (DNNs), has underlined the importance of transparency and comprehensibility in decision-making processes. Specifically, as black-box models become widespread, stakeholders in AI are seeking insights into decision justifications that could be crucial in areas such as medicine and autonomous vehicles. As a result,…

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