Sökning: "Retrieval Augmented Generation"

Hittade 3 uppsatser innehållade orden Retrieval Augmented Generation.

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

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

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

    Sammanfattning : 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. LÄS MER

  3. 2. 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

  4. 3. Can Wizards be Polyglots: Towards a Multilingual Knowledge-grounded Dialogue System

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Evelyn Kai Yan Liu; [2022]
    Nyckelord :Knowledge-grounded dialogue; Dialogue systems; Generative question answering; Multilingual question answering; Multilingual dialogue systems; Transfer learning; Multi-task learning; Sequential training; Conversational AI; Natural Language Processing NLP ; Deep learning; Machine learning;

    Sammanfattning : The research of open-domain, knowledge-grounded dialogue systems has been advancing rapidly due to the paradigm shift introduced by large language models (LLMs). While the strides have improved the performance of the dialogue systems, the scope is mostly monolingual and English-centric. LÄS MER