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How To Control Your Agent Action and Prompt System: LangGraph
Artificial Intelligence   Data Science   Latest   Machine Learning

How To Control Your Agent Action and Prompt System: LangGraph

Last Updated on March 25, 2024 by Editorial Team

Author(s): Gao Dalie (高達烈)

Originally published on Towards AI.

if you are keeping up with Agent in Langchain, you know there are many ways to build an agent, but in this video, I bring a new idea to the table.

So, what I’ll be showing you today is how to create a double confirmation agent action with a loop in action and React prompting for a better control system on your chatbot

I’ve noticed that many tutorials tend to make things more complicated than they need to be. That’s why I decided to create a quick and straightforward guide. With my code, you can easily create chatbots for your business or personal use.

But here’s the kicker: with this method, you can completely tweak and customize your app to fit your needs perfectly

if you want the Code, Comment Code and I will DM you The link Code

If you like this topic and you want to support me:

Clap my article 50 times; that will really help me out.U+1F44FFollow me on Medium and subscribe for Free to get my latest articleU+1FAF6Follow me on my YouTube channel

Human-in-the-loop (HITL) refers to a system design where humans and Agents work together iteratively to achieve a goal.

in LangGraph is A single shared state that makes the process easier… Read the full blog for free on Medium.

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Published via Towards AI

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