Despite their remarkable achievements, modern Large Language Models (LLMs) encounter exorbitant computational and memory footprints. Recently, several works have shown significant success in training-free and data-free compression (pruning and quantization) of LLMs achieving 50-60% sparsity and reducing the bit-width down to 3 or 4 bits per weight, with negligible …
به خواندن ادامه دهیدLarge Language Models (LLMs) have received much recent attention due to their human-level accuracy. While existing works mostly focus on either improving accuracy or testing accuracy robustness, the computation efficiency of LLMs, which is of paramount importance due to often vast generation demands and real-time requirements, has surprisingly received little …
به خواندن ادامه دهیدIn this paper, we introduce PDF-WuKong, a multimodal large language model (MLLM) which is designed to enhance multimodal question-answering (QA) for long PDF documents. PDF-WuKong incorporates a sparse sampler that operates on both text and …
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به خواندن ادامه دهیدDesigning a high-capacity cache is an essential means of improving the accessibility of cloud storage. Compared with traditional data access, cloud storage data access presents new patterns, and traditional caching strategies cannot handle the prefetching and replacement of non-hot data very well. Numerous studies have shown that file correlation can optimize cloud storage's …
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به خواندن ادامه دهیدThe study primarily focused on the Nemotron-4 model, a 15-billion-parameter large multilingual language model, and compared its performance before and after the upcycling process. ... In conclusion, this research provides a practical and efficient solution to expanding the capacity of pre-trained dense models through upcycling into MoE ...
به خواندن ادامه دهیدEfficient large range fluorescence enhancement in Numerical designed hybrid microfluidic channel system with resonant cavity and microlens. Author links open overlay panel Baopeng Shi a, Zhihui Chen a, Qiang Wang a, ... but their …
به خواندن ادامه دهیدLarge area (≈1 cm 2) PVSK/Si TSCs prepared by spin-coating reach the highest certified efficiency of 32.5%. 7, 15 This efficiency drops down to 17.3% and 22.6% when scaling up to 25.0 and 57.4 cm 2, respectively. 68, 69 With respect to evaporation-spin coating hybrid sequential deposition (referred to as evaporation + spin coating in Figure 6 ...
به خواندن ادامه دهیدLayered GeS shows a large capacity of 1768 mA h g−1 with a coulombic efficiency of 94% for lithium storage. With good stability and a low voltage in alloying region, the LiCoO2//GeS full cell exhibits both high cell voltage and large capacity.
به خواندن ادامه دهیدA major part of this capability may be a natural consequence of the large number of model parameters where certain information has been memorized. Then, the efficient …
به خواندن ادامه دهیدAbstract: We summarized our recent research results and achieved high-level QAM-based large-capacity, high-spectrum efficiency, and long-distance transmission through advanced digital signal processing. Published in: 2021 Asia Communications and Photonics Conference (ACP)
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به خواندن ادامه دهیدThis letter proposes a wideband high-efficiency circularly-polarized (CP) semi-transparent rectenna with large-angle wireless power capture capability. It consists of a wideband and broadbeam CP receiving antenna and a highly efficient rectifier. The wideband and broadbeam CP characteristics are achieved by combining a grounded stub with a …
به خواندن ادامه دهیدLarge Language Models (LLMs) have demonstrated remarkable capabilities in many important tasks and have the potential to make a substantial impact on our society. Such capabilities, however, come with considerable resource demands, highlighting the strong need to develop effective techniques for addressing the efficiency challenges posed by LLMs.
به خواندن ادامه دهیدwould be most suitable for an expansion train at a very large existing LNG complex targeting a large, distant market, with virtually unlimited gas supply. One question facing designers of large-capacity trains is: "How does a single 8 mtpa train compare in cost and operational flexibility vs. two 4-mtpa trains?"
به خواندن ادامه دهیدAuthors. Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai Li, Yiran Chen. Abstract. Mixture-of-Experts (MoE) has emerged as a favorable architecture in the era of large models due to its inherent advantage, i.e., enlarging model capacity without incurring notable computational overhead.
به خواندن ادامه دهیدmost efficient liquefaction cycle and the necessary components, but also deals with the whole concept for building such a plant. IDEALHY is an EU funded project that focuses on very large scale liquefaction facilities with a capacity of 50˜t/d or above. In order to reduce the power consumption for hydrogen liquefaction it is necessary to find
به خواندن ادامه دهیدLarge Language Models (LLMs) have emerged as a powerful tool in advancing the Text-to-SQL task, significantly outperforming traditional methods. Nevertheless, as a nascent research field, there is still no consensus on the optimal prompt templates and design frameworks. Additionally, existing benchmarks inadequately explore the performance of LLMs …
به خواندن ادامه دهیدParameter-Efficient Fine-Tuning (PEFT) methods have gained significant popularity for adapting pre-trained Large Language Models (LLMs) to downstream tasks, primarily due to …
به خواندن ادامه دهیدLarge Language Models (LLMs) for code are rapidly evolving, with code editing emerging as a critical capability. We introduce CodeEditorBench, an evaluation framework designed to rigorously assess the performance of LLMs in code editing tasks, including debugging, translating, polishing, and requirement switching. Unlike existing benchmarks …
به خواندن ادامه دهیدLayered phosphorus-like GeP 5: a promising anode candidate with high initial coulombic efficiency and large capacity for lithium ion batteries W. Li, H. Li, Z. Lu, L. Gan, L. Ke, T. Zhai and H. Zhou, Energy Environ.
به خواندن ادامه دهیدABSTRACT A fast calculated kernel matrix method is coupled with a compressed matrix technique to solve the large-scale gravity forward-modeling problem. This method accelerates the coefficient matrix computation by reducing the arctangent, logarithm, and multiplication functions in the prismatic gravity analytical expression. In addition, the use of the compressed matrix …
به خواندن ادامه دهیدDIELECTRICS Partitioning polar-slush strategy in relaxors leads to large energy-storage capability Liang Shu 1†, Xiaoming Shi2,3†, Xin Zhang †, Ziqi Yang1,4†, Wei Li1, Yunpeng Ma 1, Yi-Xuan Liu, Lisha Liu5, Yue-Yu-Shan Cheng 1,LiyuWei,QianLi1, Houbing Huang 2*, Shujun Zhang6*, Jing-Feng Li1* Relaxor ferroelectric (RFE) films are promising energy-storage …
به خواندن ادامه دهیدVILA Model Card Model details Model type: VILA is a visual language model (VLM) pretrained with interleaved image-text data at scale, enabling multi-image VLM. VILA is deployable on the edge, including Jetson Orin and laptop by AWQ 4bit quantization through TinyChat framework.
به خواندن ادامه دهیدAchieving scalable decision-making becomes a critical challenge when deploying artificial intelligence (AI) models into large-scale systems 1.First, this requires effective …
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به خواندن ادامه دهیدThe rapid advancement of large multimodal models (LMMs) has revolutionized the field of deep learning, enabling sophisticated understanding and generation across various modalities like …
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