AI Assistant-Based Chatbot Application in Solving Coding Script Issues Using the Ollama Large Language Models
Aplikasi Chatbot Berbasis AI Assistant dalam Menyelesaikan Permasalahan Coding Script Menggunakan Model Large Language Models Ollama
DOI:
https://doi.org/10.21070/ups.7532Keywords:
Chatbot, Artificial Intelligence, Large Language Models, Ollama, Streamlit, ProgrammingAbstract
The advancement of artificial intelligence (AI) technology has opened up significant opportunities for developing systems capable of understanding and generating natural language. One of its applications is AI-based chatbots that assist software developers in solving programming-related issues. This study aims to design and implement an AI-based chatbot application using Large Language Models (LLM) from Ollama with a Streamlit-based interface. The application enables users to interact with the chatbot to obtain solutions for debugging and code recommendations. The system development follows the Waterfall methodology, including requirements analysis, design, implementation, testing, and maintenance. The AI model runs locally using Ollama, while Streamlit serves as the user interface to facilitate access and interaction. Testing results indicate that the application provides accurate and relevant responses, though system response time still requires optimization. With this chatbot, software developers are expected to enhance their work efficiency in resolving technical issues quickly and accurately.
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