The content discusses the development of a chatbot that can answer questions about a JSON dataset using an LLM and pre-defined student data in JSON format. The challenge involves working with poorly structured JSON data to create a functional chatbot. The article is written by Ben Olney and published on Towards Data Science. The chatbot project aims to utilize artificial intelligence to process and respond to queries about the JSON dataset. The author highlights the importance of structuring the JSON data effectively for the chatbot to provide accurate and relevant answers. The article includes an image of the JSON Agent, which is edited by the author. Overall, the focus is on the technical aspects of developing a chatbot for handling questions related to a JSON dataset, emphasizing the need for proper data structuring to ensure the chatbot’s effectiveness.
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Source link: https://towardsdatascience.com/using-a-json-agent-with-langchain-langsmith-and-openais-gpt-4o-791f57cf3b45
Utilizing JSON Agent for LangChain, LangSmith, and GPT-4o #AI
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