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Building LLM Agents Using LangChain & OpenAI API
Data Science   Latest   Machine Learning

Building LLM Agents Using LangChain & OpenAI API

Last Updated on May 13, 2024 by Editorial Team

Author(s): Youssef Hosni

Originally published on Towards AI.

When we think about large language models (LLM), we often imagine them as super-smart databases filled with internet knowledge, ready to answer any question we throw at them. But the reality is that they are clever assistants, able to understand what we tell them and help us figure things out.

That’s where LangChain’s Agents come in. It’s like giving your assistant superpowers! In agents, a language model is used as a reasoning engine to determine which actions to take and in which order.

In this guide, we’ll dive into what agents are, how to make them, and how to teach them to do all sorts of neat tricks, like searching Wikipedia, solving programming questions, and finally building your own agent.

Setting Up Working EnvironmentBuilding Math Tutor AgentBuilding Wikipedia Search AgentBuilding Python Programming Assistant AgentBuild Your Customized Agent

Most insights I share in Medium have previously been shared in my weekly newsletter, To Data & Beyond.

If you want to be up-to-date with the frenetic world of AI while also feeling inspired to take action or, at the very least, to be well-prepared for the future ahead of us, this is for you.

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Published via Towards AI

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