Essays about: "Question-Answering"

Showing result 1 - 5 of 45 essays containing the word Question-Answering.

  1. 1. 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

  2. 2. Question-answering chatbot for Northvolt IT Support

    University essay from Uppsala universitet/Signaler och system

    Author : Daniel Hjelm; [2023]
    Keywords : Artificial intelligence; Chatbot; Natural language processing; Natural language understanding; Machine learning; Deep learning; Transformer; Question answering; Conversational agents; Conversational AI;

    Abstract : Northvolt is a Swedish battery manufacturing company that specializes in the production of sustainable lithium-ion batteries for electric vehicles and energy storage systems. Established in 2016, the company has experienced significant growth in recent years. READ MORE

  3. 3. The Impact of the Retrieval Text Set for Text Sentiment Classification With the Retrieval-Augmented Language Model REALM

    University essay from KTH/Matematik (Inst.)

    Author : Oscar Blommegård; [2023]
    Keywords : The Impact of the Retrieval Text Set for Text Sentiment Classification With the Retrieval-Augmented Language Model REALM; Hämtningsförstärkta språkmodeller; Natural Language Processing; Transformers; Djupinlärning; Textklassificering;

    Abstract : Large Language Models (LLMs) have demonstrated impressive results across various language technology tasks. By training on large corpora of diverse text collections from the internet, these models learn to process text effectively, allowing them to acquire comprehensive world knowledge. READ MORE

  4. 4. Exploring Knowledge Vaults with ChatGPT : A Domain-Driven Natural Language Approach to Document-Based Answer Retrieval

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Mathias Hammarström; [2023]
    Keywords : Human-computer-interaction; NLP; LLM; ChatGPT; Question-Answering; Information-Retrieval.; Människa-dator interaktion; NLP; LLM; ChatGPT; Question-Answering; Information-Retrieval.;

    Abstract : Problemlösning är en viktig aspekt i många yrken. Inklusive fabriksmiljöer, där problem kan leda till minskad produktion eller till och med produktionsstopp. Denna studie fokuserar på en specifik domän: en massafabrik i samarbete med SCA Massa. READ MORE

  5. 5. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Mahtab Davari; [2023]
    Keywords : Knowledge graph; Positive Energy Districts PEDs ; longest path; Questions and Answers; Community Detection; Node Embedding; t-SNE plots; Edge Prediction;

    Abstract : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. READ MORE