Essays about: "Large Language Models"

Showing result 1 - 5 of 199 essays containing the words Large Language Models.

  1. 1. Towards Automated Log Message Embeddings for Anomaly Detection

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Adrian Murphy; Daniel Larsson; [2024]
    Keywords : Technology and Engineering;

    Abstract : Log messages are implemented by developers to record important runtime information about a system. For that reason, system logs can provide insight into the state and health of a system and potentially be used to anticipate and discover errors. READ MORE

  2. 2. Where to Fuse

    University essay from Lunds universitet/Matematisk statistik

    Author : Lukas Petersson; [2024]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE

  3. 3. An In-Depth study on the Utilization of Large Language Models for Test Case Generation

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Nicole Johnsson; [2024]
    Keywords : Large Language Models; Test Case Generation; Retrieval Augmented Generation; Machine Learning; Generative AI;

    Abstract : This study investigates the utilization of Large Language Models for Test Case Generation. The study uses the Large Language model and Embedding model provided by Llama, specifically Llama2 of size 7B, to generate test cases given a defined input. READ MORE

  4. 4. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

    University essay from Lunds universitet/Fysiska institutionen

    Author : Max Svensson; [2024]
    Keywords : Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

    Abstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE

  5. 5. Initial Development and Validation of Language-Based Assessments for Meaningful Change

    University essay from Lunds universitet/Institutionen för psykologi

    Author : Ulrika Söderström; [2024]
    Keywords : meaningful change; depression; Large Language Models; AI; Social Sciences;

    Abstract : Meaningful change has been discussed in multiple studies, with the recurring question of how it could be conceptualized and assessed to identify what determines meaningful change and where it occurs. Previous studies have conducted statistical analyses based on traditional rating scales (i.e., the PHQ-9) to assess meaningful change. READ MORE