Essays about: "Domain Specific Models"

Showing result 1 - 5 of 148 essays containing the words Domain Specific Models.

  1. 1. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Sofia Leksell; [2024]
    Keywords : Federated Learning; Adversarial Attacks; Regression; Classification;

    Abstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving  a noticeable gap in FL research specifically for regression models. READ MORE

  2. 2. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Sofia Leksell; [2024]
    Keywords : Federated Learning; Adversarial Attacks; Regression; Classification;

    Abstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving  a noticeable gap in FL research specifically for regression models. READ MORE

  3. 3. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments

    University essay from Linköpings universitet/Datorseende

    Author : Erica Ingerstad; Liv Kåreborn; [2024]
    Keywords : NeRF; Neural Radiance Field; Satellite Imagery; Machine Learning; Deep Learning;

    Abstract : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. READ MORE

  4. 4. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Niklas Wretblad; Fredrik Gordh Riseby; [2024]
    Keywords : Chaining; Classification; Data Quality; Few-Shot Learning; Large Language Model; Machine Learning; Noise; Prompt; Prompt Engineering; SQL; Structured Query Language; Text-to-SQL; Zero-Shot Learning; Noise Identification;

    Abstract : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. READ MORE

  5. 5. Prompt engineering guidelines for LLMs in Requirements Engineering

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Simon Arvidsson; Johan Axell; [2023-08-07]
    Keywords : Requirements Engineering; Prompt Engineering; Generative AI; LLM; Prompt Guidelines;

    Abstract : The rapid emergence of large generative AI models has demonstrated their utility across a multitude of tasks. Ensuring the quality and accuracy of the models’ output is done in different ways. In this study, we focused on prompt engineering. READ MORE