Sökning: "LLMs"

Visar resultat 1 - 5 av 33 uppsatser innehållade ordet LLMs.

  1. 1. Where to Fuse

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Lukas Petersson; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : This thesis investigates fusion techniques in multimodal transformer models, focusing on enhancing the capabilities of large language models in understanding not just text, but also other modalities like images, audio, and sensor data. The study compares late fusion (concatenating modality tokens after separate encoding) and early fusion (concatenating before encoding) techniques, examining their respective advantages and disadvantages. LÄS MER

  3. 2. ASSESSING STRATEGIES FORBEHAVIOUR CONSISTENCYCHECKING USING LLMS

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Oskar Berglund; [2024]
    Nyckelord :;

    Sammanfattning : UML diagrams are used today to aid developers in a variety of ways. Some of the things UML supports is the creation of abstract representations of projects and the creation of views of different aspects of the system that is being modelled. LÄS MER

  4. 3. 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

  5. 4. Leveraging Large Language Models for Firm-Intelligence: A RAG Framework Approach

    Magister-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Niclas Wölner-Hanssen; [2024]
    Nyckelord :Artificial Intelligence; Large Language Models; Retrieval Augmented Generation; Retrieval Augmented Generation Assessment; Contrastive Learning; Mathematics and Statistics;

    Sammanfattning : In the wake of OpenAI's release of ChatGPT in November 2022, powered by the 175 billion parameter neural network GPT-3, the potential applications of Large Language Models (LLMs) in various sectors have become evident. One such application lies in hedge funds and trading desks where knowledge sharing is paramount. LÄS MER

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

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

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

    Sammanfattning : 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. LÄS MER