Use Langchain to build a Streamlit Gen AI Chatbot (LLM powered) coded in Python using the latest langchain version (0.3)
What you will learn
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Building AI-powered customer support agents using LangChain and LLMs, and deploying them as interactive Streamlit applications.
Fundamentals of LangChain and LLMs: Covering core concepts, building AI agents, and managing data flow between LangChain components for Streamlit application
Utilizing LLMs within LangChain for function calling to design interactive Streamlit dashboards to control and monitor these workflows
Deploying AI Agents using Streamlit – letting users chat with your Ecommerce bot for data analytics!
How to do Error Handling and Debugging when it comes to AI automations with Langchain and in Streamlit
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