Searched for: subject%3A%22Transformer%255C+Neural%255C+Network%22
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O'Dwyer Wha Binda, Jahson (author)
With the increasing popularity of Large Language Models (LLMs), fine-tuning them has become increasingly computationally expensive. Parameter Efficient Fine-Tuning (PEFT) methods like LoRA and Adapters, introduced by Microsoft and Google, respectively, aim to reduce the number of trainable parameters, with the current state-of-the-art combining...
master thesis 2024
Vos, Reinier (author)
Air traffic sector demand and capacity balancing is an important process to enable safe and efficient flight execution. In current operations, demand and capacity are determined based on schedules and flight plans. In reality, disruptions to flights create a different situation that may not have been anticipated by the Air Navigation Service...
master thesis 2023
Pastor Serrano, O. (author)
doctoral thesis 2023