How to Build Your First AI Agent with LangChain and OpenAI GPT-4

In this LangChain tutorial for beginners, you’ll learn how to build your first AI Agent. In the Python project, we’ll use LangChain with OpenAI models: GPT-4 and GPT-3.5. I’ll show you how to overcome Large Language Models limitations, such as the knowledge cut-off and bad math.

Happy watching!

Connect with meLinkedIn: https://www.linkedin.com/in/kris-ograbek/Medium: https://medium.com/@kris-ograbek

+++ Useful Resources +++Notebook for this project: https://github.com/krisograbek/LangChain_Tutorials/blob/main/LangChainGuides/BasicAgent.ipynb

+++ LangChain +++

LangChain Agents Docs: https://python.langchain.com/docs/modules/agents/LangChain GitHub: https://github.com/langchain-ai/langchain

DeepLearningAI Course: LangChain for LLM Applications: https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/DeepLearningAI Course for LangChain: Chat with your data: https://www.deeplearning.ai/short-courses/langchain-chat-with-your-data/

Chapters:0:00 Intro1:14 Showing ChatGPT limitations3:27 ChatGPT with Web Browsing5:09 Python Project Introduction5:50 Getting the SERP API key6:39 Getting the OpenAI API key7:35 Importing the API keys to the project8:08 Exposing the standard LLM limits9:12 GPT-3.5 wrong answer9:40 GPT-4 outdated answer10:05 Showing GPT-4 bad math10:47 AI Agent Introduction11:43 Testing the AI Agent with DaVinci17:55 Building the AI Agent with GPT-3.519:50 AI Agent’s false assumption!21:14 AI Agent uses Google Search for Math24:30 Asking the Agents questions about volleyball27:33 Outro

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