Build a CLI Application with Python and Langchain

Learn how to build a CLI Application with Python and Langchain. Through the utilization of Python and the Langchain frame framework, learners will embark on a transformative journey, mastering the art of crafting a highly interactive CLI app reminiscent of the seamless Chat GPT experience.

This beginner-level course is designed to provide participants with an introduction to the world of Large Language Model (LLM’s) application development. Through the utilization of Python and the Langchain frame framework, learners will embark on a transformative journey, mastering the art of crafting a highly interactive CLI app reminiscent of the seamless Chat GPT experience.

Throughout the course, participants will delve into the core principles and techniques of working with the LangChain framework, and building a foundation in CLI development. Guided by a passionate instructor, learners will be introduced to the Langchain frame framework, basic Python and the process of CLI app creation.

The course places significant emphasis on the integration of agents and memory within the CLI application. By assimilating agents, learners will empower their Language Model (LLM) to harness the vast information available on the internet.

Upon completion of the course, participants will possess a basicunderstanding of Python programming concepts, adeptness in CLI development, and fluency in utilizing the Langchain frame framework. Additionally, they will have honed the necessary skills to construct a fully functional command line interface app with engaging interactive features comparable to the exceptional capabilities of Chat GPT. By skillfully integrating agents and memory, participants will equip their LLM with the prowess to explore the internet, amplifying its knowledge-seeking capabilities.

What you’ll learn

  •        Interact with Large Language Models using Python.
  •        Learn the basics of setting up a prompt for LLM's.
  •        Use agents to get current information through tools we define to assist our LLM.
  •        Add memory to a LLM so it is able to have context.

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Build a CLI Application with Python and Langchain
1.45 GEEK