Growing concerns about identity theft and privacy are brought on by the increased sharing of digital information, which leaves data open to quick changes while in transit. Digital data must be protected from hackers. ...
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Post-harvest losses of onion incurred during storage pose a significant global concern. To reduce post-harvest losses, this study explores the applications of fuzzy logic to predict the storage lifespan of onions. Thi...
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In the daily operations of both small and large businesses, the handling of voluminous invoices remains an enduring challenge. The manual input and validation of invoice data not only imposes significant labor demands...
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The behavior of the concrete piles subjected to lateral load depends on subsoil conditions, sectional properties of the pile, and boundary conditions of the pile at the top and bottom. This paper investigates the appl...
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The advancements in automated problem-solving were explored by the agents of Artificial Intelligence (AI)Generated Content (AIGC). Although existing AIGC-based AI Agent systems can solve simple tasks, it is complicate...
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In the current era where data and information is the main fuel for business, education, banking, marketing and digital applications used by people. These applications consist of personal and sensitive data. These digi...
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Lung image compression and segmentation are essential diagnostic and monitoring techniques for a variety of respiratory ailments. We present a novel deep learning-based technique for segmenting and compressing lung im...
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With the advent of transfer learning approaches, Natural Language Processing (NLP) problems have experienced tremendous progress, as demonstrated by models such as Generative Pre-trained Transformers (GPT) and Bidirec...
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ISBN:
(纸本)9798350388800
With the advent of transfer learning approaches, Natural Language Processing (NLP) problems have experienced tremendous progress, as demonstrated by models such as Generative Pre-trained Transformers (GPT) and Bidirectional Encoder Representations from Transformers (BERT). The usefulness of such transfer learning strategies across a range of NLP tasks and domains is investigated in this work. The study uses a methodical methodology to assess BERT and GPT's performance on a wide range of tasks. In addition, the study evaluates the generalizability and flexibility of these models across a broad variety of disciplines, including social media, finance, legal, and biological literature. The study's methodology entails rigorous assessment utilizing task-specific standard metrics after pre-trained BERT and GPT models have been fine-tuned using task-specific datasets. To determine the relative benefits and drawbacks of transfer learning strategies in various contexts, comparative studies are carried out against baseline models and other cutting-edge methodologies. Additionally, the study looks at how the performance of BERT and GPT is affected by variables including task difficulty, dataset size, and domain specificity. The results provide a comprehensive understanding of the benefits and drawbacks of transfer learning strategies in a variety of NLP tasks and domains. While BERT performs admirably on tests requiring semantic comprehension and contextual knowledge, GPT is superior at producing text that is both cohesive and appropriate to the situation. Both models, however, show sensitivity to dataset features and idiosyncrasies unique to the domain, indicating the necessity for customized fine-tuning techniques for best results. All things considered, this study advances our knowledge of the usefulness and efficiency of transfer learning strategies and provides insightful information for academics and practitioners who want to use BERT, GPT, and related models in a variety
The escalating demands of data processing applications have propelled Field Programmable Gate Array (FPGA)s into the forefront of programmable accelerators in modern computing systems. Design automation or computer-ai...
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As modern retail processes are rapidly developing;inventory management becomes one of the key factors affecting the client's needs and business competitiveness. The merchandising concept of product accessibility o...
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