Essays about: "Large Context"
Showing result 1 - 5 of 1350 essays containing the words Large Context.
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1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE
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2. When Flying is Inevitable : How international companies and business travelers can contribute to the transformation towards a future of sustainable aviation
University essay from KTH/Industriell ekonomi och organisation (Inst.)Abstract : This thesis emerged from a question that had been repeating itself in my head for a long period of time: If myself and the rest of the world face the fact that we are likely to keep flying for years to come for reasons somehow considered valid, how can we at the same time still contribute efficiently to achieving a more sustainable future of aviation? Based on this dilemma and focusing on the factor of impact, an actor with the power of creating a larger impact than a single individual was firstly identified. This actor also provides the perspective used in this thesis. READ MORE
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3. Exploring the use of low-code software development in the automotive industry : thesis conducted at the Scania engine assembly facility
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The growing demand for IT professionals to develop and maintain software is creating huge concerns for organizations looking to keep up and build resilience. The trends show that there is a large shortage compared to the demand. Manufacturing companies are no exception to this, and the adoption of Industry 4. READ MORE
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4. Incremental Re-tokenization in BPE-trained SentencePiece Models
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This bachelor's thesis in Computer Science explores the efficiency of an incremental re-tokenization algorithm in the context of BPE-trained SentencePiece models used in natural language processing. The thesis begins by underscoring the critical role of tokenization in NLP, particularly highlighting the complexities introduced by modifications in tokenized text. READ MORE
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5. Less is more? On the Data Minimization in AI-based Personal Data Processing: Navigating Divides, Shaping Tomorrow in the Era of GDPR
University essay from Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakultetenAbstract : This thesis is written in five Chapters. Chapter One starts with an introduction, then it focuses on the research questions and the limitations. Chapter two, describes data processing, especially AI-based personal data processing, and focuses on the possible risks of it. READ MORE