Sökning: "Språkmodeller"

Visar resultat 1 - 5 av 83 uppsatser innehållade ordet Språkmodeller.

  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. Från generering till manipulering: En kvalitativ kartläggning av storskaliga språkmodeller och deras roll i framtidens desinformationskampanjer

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Donna Sallo; [2024]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  3. 3. Topological regularization and relative latent representations

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

    Författare :Alejandro García Castellanos; [2023]
    Nyckelord :Algebraic Topology; Large Language Models; Relative Representation; Representation Learning; Model Stitching; Topological DataAnalysis; Zero-shot; Algebraisk topologi; Stora språkmodeller; Relativ representation; Representationsinlärning; Modell sömmar; Topologisk dataanalys; Zero-shot;

    Sammanfattning : This Master's Thesis delves into the application of topological regularization techniques and relative latent representations within the realm of zero-shot model stitching. Building upon the prior work of Moschella et al. LÄS MER

  4. 4. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study

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

    Författare :David Yu; [2023]
    Nyckelord :Natural language processing; Sentiment analysis; Clustering; Language model; Transformer; Heuristic; Språkteknologi; Sentimentanalys; Klustering; Språkmodell; Transformer; Heuristik;

    Sammanfattning : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. LÄS MER

  5. 5. Round-Trip Translation : A New Path for Automatic Program Repair using Large Language Models

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

    Författare :Fernando Vallecillos Ruiz; [2023]
    Nyckelord :Automatic Program Repair; Software Engineering; Large Language Models; Round-Trip Translation; Neural Machine Translation; Automatisk programreparation; Mjukvaruutveckling; Stora språkmodeller; Tur och retur-översättning; Neural maskinöversättning;

    Sammanfattning : 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. LÄS MER