Sökning: "Dialogue Summarization"

Hittade 3 uppsatser innehållade orden Dialogue Summarization.

  1. 1. Contextual short-term memory for LLM-based chatbot

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

    Författare :Mikael Lauri Aleksi Törnwall; [2023]
    Nyckelord :Chatbot; Artificial Intelligence; Machine Learning; Language Model; Large Language Model; GPT-3; Natural Language Processing; Text Summarization; Dialogue Summarization; Prompt Design; Prompt Programming; Chatbot; Artificiell Intelligens; Maskininlärning; Språkmodell; Stor Språkmodell; GPT-3; Naturlig Ppråkbehandling; Textsammanfattning; Sammanfattning av Dialog; Design för Inmatningsprompt; Inmatningsprompt Programmering;

    Sammanfattning : The evolution of Language Models (LMs) has enabled building chatbot systems that are capable of human-like dialogues without the need for fine-tuning the chatbot for a specific task. LMs are stateless, which means that a LM-based chatbot does not have a recollection of the past conversation unless it is explicitly included in the input prompt. LÄS MER

  3. 2. Transforming Education into Chatbot Chats : The implementation of Chat-GPT to prepare educational content into a conversational format to be used for practicing skills

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

    Författare :Simon Wickman; Philip Zandin; [2023]
    Nyckelord :Artificial intelligence; ChatGPT; Summarization; Educational material; Dialogue format; Automatic evaluation; Prompt creation; Prompt.; Artificiell intelligens; ChatGPT; Sammanfattning; Utbildningsmaterial; Dialog format; Automatisk utvärdering; Instruktion.;

    Sammanfattning : In this study we explore the possibility of using ChatGPT, to summarise large contents of educational content and put it in a template that later can be used for dialogue purposes and will explore the challenges and solutions that occur during the implementation. Today there is a problem for users to create wellmade prompts for learning scenarios that fulfill all the requirements set by the user. LÄS MER

  4. 3. An AI-based System for Assisting Planners in a Supply Chain with Email Communication

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Shreya Spurthi Dantu; Akhilesh Yadlapalli; [2023]
    Nyckelord :Email Thread Summarization; Natural Language Processing NLP ; Dialogue Summarization; Conditional Random Field CRF ; Supply Chain Communication.;

    Sammanfattning : Background: Communication plays a crucial role in supply chain management (SCM) as it facilitates the flow of information, materials, and goods across various stages of the supply chain. In the context of supply planning, each planner manages thousands of supply chain entities and spends a lot of time reading and responding to high volumes of emails related to part orders, delays, and backorders that can lead to information overload and hinder workflow and decision-making. LÄS MER