Essays about: "Generative language models"
Showing result 1 - 5 of 35 essays containing the words Generative language models.
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1. An In-Depth study on the Utilization of Large Language Models for Test Case Generation
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This study investigates the utilization of Large Language Models for Test Case Generation. The study uses the Large Language model and Embedding model provided by Llama, specifically Llama2 of size 7B, to generate test cases given a defined input. READ MORE
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2. Quantifying Generative AI's Influence on European Firm Valuation
University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringAbstract : This paper employs a quantitative approach to evaluate the influence of generative AI workforce exposure on firm value in light of recent AI advancements. We focus on public large-cap companies headquartered in the European Union, analyzing their workforce exposure to these AI technologies. READ MORE
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3. Approximating Reasoning with Transformer Language Models
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : We conduct experiments with BART, a generative language-model architecture, to investigate its capabilities for approximating reasoning by learning from data. For this we use the SimpleLogic dataset, a dataset of satisfiability problems in propositional logic originally created by Zhang et al. (2022). READ MORE
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4. Round-Trip Translation : A New Path for Automatic Program Repair using Large Language Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Research shows that grammatical mistakes in a sentence can be corrected by machine translating it to another language and back. We investigate whether this correction capability of Large Language Models (LLMs) extends to Automatic Program Repair (APR), a software engineering task. READ MORE
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5. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. READ MORE