kyopark2014/llm-agent
It shows how to deploy and use an agent with LLM.
This project helps create a Korean-language chatbot that can accurately answer complex questions by intelligently using various external tools and APIs. You input a question into a chat interface, and the chatbot processes it by deciding which tools (like book search, weather, or web search) to use, then combines the information to give you a detailed answer. This is designed for anyone needing a smart, context-aware chatbot that can go beyond basic LLM knowledge to retrieve real-time or specific external information.
No commits in the last 6 months.
Use this if you need to build a Korean-language chatbot that can integrate and intelligently leverage multiple external APIs and functions to provide more accurate and comprehensive answers.
Not ideal if your chatbot only needs to access pre-trained knowledge within the LLM itself and doesn't require interaction with external real-time data or specialized services.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Mar 01, 2025
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