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Artificial Intelligence
Cloud infrastructure is a key component of AI development and implementation in the modern era. There should be less complexity in managing and utilizing cloud infrastructure. Establishing deployment ...
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This AI Research from Google Explains How They Trained a DIDACT Machine Learning ML Model to Predict Code Build Fixes
Softwares are developed through a series of iterative steps, including editing, unit testing, fixing build errors, and code reviews until the product is good enough to be added to a repository.
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Enhancing Biomedical Named Entity Recognition with Dynamic Definition Augmentation: A Novel AI Approach to Improve Large Language Model Accuracy
Biomedical research relies heavily on precisely identifying and classifying specialized terms from extensive textual data. This process, known as named entity recognition (NER), is fundamental for ...
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China’s Vidu Challenges Sora with High-Definition 16-Second AI Video Clips in 1080p
The 2024 Zhongguancun Forum in Beijing saw the introduction of Vidu, an advanced AI model that can generate 16-second 1080p video clips with a simple prompt. Developed by ShengShu-AI and Tsinghua ...
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Top Artificial Intelligence AI Courses for Beginners in 2024
The popularity of AI has skyrocketed in the past few years, with new avenues being opened up with the rise in the use of large language models (LLMs). Having knowledge of AI has now become quite ...
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Microsoft’s GeckOpt Optimizes Large Language Models: Enhancing Computational Efficiency with Intent-Based Tool Selection in Machine Learning Systems
Large language models (LLMs) are the backbone of numerous computational platforms, driving innovations that impact a broad spectrum of technological applications. These models are pivotal in ...
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Enhancing AI Model’s Scalability and Performance: A Study on Multi-Head Mixture-of-Experts
Large capacity models, such as Large Language Models (LLMs) and Large Multi-modal Models (LMMs), have demonstrated effectiveness across various domains and tasks. Scaling up these models by increasing ...
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FlashSpeech: A Novel Speech Generation System that Significantly Reduces Computational Costs while Maintaining High-Quality Speech Output
In recent years, speech synthesis has undergone a profound transformation thanks to the emergence of large-scale generative models. This evolution has led to significant strides in zero-shot speech ...
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SEED-X: A Unified and Versatile Foundation Model that can Model Multi-Granularity Visual Semantics for Comprehension and Generation Tasks
In artificial intelligence, a significant focus has been on developing models that simultaneously process and interpret multiple forms of data. These multimodal models are designed to analyze and ...
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Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with a Staggering 480B Parameters
Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness ...
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Meet FineWeb: A Promising 15T Token Open-Source Dataset for Advancing Language Models
FineWeb, a newly released open-source dataset, promises to propel language model research forward with its extensive collection of English web data. Developed by a consortium led by huggingface, ...
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Neuromorphic Computing: Algorithms, Use Cases and Applications
Neuromorphic computing represents a transformative approach to artificial intelligence, seeking to emulate the human brain’s neural structures and processing methods. This computing paradigm offers ...