Sökning: "Domain Specific Language"

Visar resultat 1 - 5 av 144 uppsatser innehållade orden Domain Specific Language.

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

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Niklas Wretblad; Fredrik Gordh Riseby; [2024]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  2. 2. A type-driven approach for sensitivity checking with branching

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Daniel Freiermuth; [2023-10-24]
    Nyckelord :Computer; science; computer science; thesis; differential privacy; type system; sensitivity; branching;

    Sammanfattning : Differential Privacy (DP) is a promising approach to allow privacy preserving statistics over large datasets of sensitive data. It works by adding random noise to the result of the analytics. Understanding the sensitivity of a query is key to add the right amount of noise capable of protecting privacy of individuals in the dataset. LÄS MER

  3. 3. A Language for Board Games – Development of an Embedded Domain-Specific Language for Describing Board Games

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Edvin Alestig; Joel Ericson; Erik Eriksson; Lukas Schiavone; Filip Torphage; Joakim Tubring; [2023-03-03]
    Nyckelord :DSL; domain-specific languages; Haskell; functional programming; board games; game theory; domänspecifika språk; funktionell programmering; brädspel; spelteori;

    Sammanfattning : In recent years board games have increasingly found themselves in the digital medium. One way to enable easier creation of digital board games is to create a domainspecific language (DSL) for that purpose. This thesis details the process of developing an embedded DSL for describing board games with Haskell as its host language. LÄS MER

  4. 4. Context-aware security testing of Android applications : Detecting exploitable vulnerabilities through Android model-based security testing

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ivan Baheux; [2023]
    Nyckelord :Android Application Security; Vulnerability Detection; Context-Awareness; Model-Based Security Testing; Domain Specific Language; Sécurité des Applications Android; Détection de Vulnérabilités; Sensibilité au Contexte; Tests de Sécurité Basés sur les Modèles; Langage Dédiés; Android-applikationssäkerhet; Upptäckt av sårbarheter; Kontextmedvetenhet; Modellbaserad säkerhetstestning; Domänspecifikt språk;

    Sammanfattning : This master’s thesis explores ways to uncover and exploit vulnerabilities in Android applications by introducing a novel approach to security testing. The research question focuses on discovering an effective method for detecting vulnerabilities related to the context of an application. LÄS MER

  5. 5. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Yiu Kei Tang; [2023]
    Nyckelord :;

    Sammanfattning : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. LÄS MER