Build an App with LangChain AGENTs & Streamlit for Data Analysis

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Hi guys! Today, I'll show you how to use agents for data analysis and build an LLM app.

00:01 Introduction
01:07 Setup
02:47 Initialize the app
04:46 Create an agent
07:15 Build the front-end
09:28 Test the app

Hi, I am Tirendaz, PhD. I create content on generative AI & data science. My goal is to make the latest technologies understandable for everyone. Don't forget to subscribe and turn on notifications so you don't miss the latest videos.

#ai #generativeai #datascience
  1. Tirendaz AI
  2. tirendaz academy
  3. data science
  4. machine learning
  5. deep learning
  6. artificial intelligence
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Комментарии
Автор

Nice video and thanks for your time to create this. Good explanation, Straight to the point and easy to follow steps. From London

venkatasri
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Is it possible for the agent to plot graph when asked in the chat? Thanks.

JTIAPBN
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Wish I could click like more than once:)

mapledev
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Nice..but how is this different from other ask csv videos? whats the special point of agent ?

KumR
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can you comment on the trade off between gradio vs streamlit for chatbot UI?

wryltxw
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Can i use this repo to make a sql agent like this csv agent? can you make a video about that?

lucaslira
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Nice, but can use any local open source LLM from hugging instead of claude?

AliAlias
Автор

I used OpenAI, and when i asked 'write code to make sqlite' the app actually made the corresponding .db file!

Delchursing