Create Your AI Math Tutor App in 30 Lines of Code with Streamlit, LangChain, and ChatGPT

Author(s): Soner Yıldırım

Originally published on Towards AI.

The power of ChatGPT meets the ease of Streamlit.

Photo by Andrea De Santis on Unsplash

The advancements in large language models (LLMs) have grabbed a lot of attention. Although some people consider it as hype, numerous people see it as an opportunity to develop new products or improve existing ones.

New LLM-based products and plugins are introduced in no time. Three main reasons that boost such productivity are:

LLMs have become super powerfulWe’ve learned how to use them better (e.g., prompt engineering)There are tools that expedite and simplify the development process (e.g., Streamlit, LangChain)

In this article, we’ll create a math tutor application in 30 lines of code. Below is a small… Read the full blog for free on Medium.

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Published via Towards AI