Build a Local Customer Feedback Analysis Pipeline Using HP AI Studio and Open-Source LLMs
In this webinar, HP AI Engineer Ata Turhan will walk through a complete blueprint project built entirely in HP AI Studio using only local and open-source tools. You will see how survey results, internal feedback, and dogfooding data can be transformed into summarized themes and detailed answers using an interactive system powered by Llama.cpp, LangChain, LangGraph, MLflow, and Streamlit.
The entire workflow runs locally in HP AI Studio, making it easy to experiment, customize, and deploy while keeping all data private.
What you’ll learn:
- How to summarize and analyze unstructured customer feedback using open-source LLMs
- How to deploy a complete feedback analysis workflow with HP AI Studio
- How tools like LangGraph and MLflow integrate into a reproducible local pipeline
- How to replicate the entire project in your own environment in under five minutes
Live Webinar: Build a Local Customer Feedback Analysis Pipeline Using HP AI Studio and Open-Source LLMs
Speaker: Ata Turhan, AI Engineer at HP
Date: July 31st
Time: 9:00am - 09:45am PST
Limited spots available – register today!
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