From idea to agent: Langchain + Groq to the rescue

Author(s): Pritha Saha

Originally published on Towards AI.

From idea to agent: Langchain + Groq to the rescue

I am an avid reader, who keeps up with a lot of news everyday, spanning across technology, politics, travel etc. But lately my product manager brain started itching. Could i create an article summarizer, that saves me time, but doesn’t lose information?

This article describes the author’s journey to create an article summarizer using Langchain, Groq, and Streamlit. It outlines how the author conceptualized the project, the development steps taken, including the use of Python functions with LLMs to generate summaries, and the implementation of a user-friendly Streamlit interface. The author also reflects on their learning process and the importance of structuring code logically for better debugging and efficiency in AI-driven summarization tasks.

Read the full blog for free on Medium.

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Published via Towards AI