Sökning: "Zero-shot"

Visar resultat 1 - 5 av 33 uppsatser innehållade ordet Zero-shot.

  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. 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

  3. 3. Language Models as Evaluators : A Novel Framework for Automatic Evaluation of News Article Summaries

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

    Författare :Celine Helgesson Hallström; [2023]
    Nyckelord :Natural Language Processing; Large Language Models; Automatic Text Evaluation; Text Summarization; Multilingualism; Naturlig Språkbehandling; Stora Språkmodeller; Automatisk Textutvärdering; Textsammanfattning; Flerspråkighet;

    Sammanfattning : The advancements in abstractive summarization using Large Language Models (LLMs) have brought with it new challenges in evaluating the quality and faithfulness of generated summaries. This thesis explores a human-like automated method for evaluating news article summaries. LÄS MER

  4. 4. Exploring GPT models as biomedical knowledge bases : By evaluating prompt methods for extracting information from language models pre-trained on scientific articles

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

    Författare :Ebba Hellberg; [2023]
    Nyckelord :Language model; GPT; knowledge probing; information extraction; prompt methods; Språkmodell; GPT; kunskapsbas; informationsextraktion; prompt-metoder;

    Sammanfattning : Scientific findings recorded in literature help continuously guide scientific advancements, but manual approaches to accessing that knowledge are insufficient due to the sheer quantity of information and data available. Although pre-trained language models are being explored for their utility as knowledge bases and structured data repositories, there is a lack of research for this application in the biomedical domain. LÄS MER

  5. 5. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Christoffer Gärdin; [2023]
    Nyckelord :Datorseende; maskininlärning; CLIP; anomalidetektion; videoövervakning;

    Sammanfattning : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. LÄS MER