Sökning: "Fine-tune"
Visar resultat 1 - 5 av 66 uppsatser innehållade ordet Fine-tune.
1. AI-based image generation: The impact of fine-tuning on fake image detection
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. LÄS MER
2. Nested Noun Phrase Detection in English Text with BERT
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this project, we address the task of nested noun phrase identification in English sentences, where a phrase is defined as a group of words functioning as one unit in a sentence. Prior research has extensively explored the identification of various phrases for language understanding and text generation tasks. LÄS MER
3. Low-No code Platforms for Predictive Analytics
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : In the data-driven landscape of modern business, predictive analytics plays a pivotal role inanticipating and mitigating customer churn—a critical challenge for organizations. However, thetraditional complexities of machine learning hinder accessibility for decision-makers. LÄS MER
4. Fine-tuning a BERT-based NER Model for Positive Energy Districts
Master-uppsats, Högskolan Dalarna/Institutionen för information och teknikSammanfattning : This research presents an innovative approach to extracting information from Positive Energy Districts (PEDs), urban areas generating surplus energy. PEDs are integral to the European Commission's SET Plan, tackling housing challenges arising from population growth. LÄS MER
5. Visualizing pediatric obesity data to determine treatment strategy effectiveness and improvements
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Pediatric obesity is skyrocketing nowadays worldwide. Therefore, helping and supporting clinicians in curing children is needed. As Health IT is soaring thanks to the emergence of a cutting-edge technology, treatments can now be followed closely and daily to give a personalized therapy. LÄS MER