Abstract: 

In this talk, I will demonstrate to students how to create a SequentialChain for generating articles using a colab notebook script. The aim of the script is to generate an article from an LLM via the following calls:

1. Generate an article outline.
2. Create an article from step 1.
3. Edit article from step 2.
4. Translate the article into Spanish, German and French versions from step 3.

Session Objective: To automate business processes that are sequential in nature and can be completely automated with LLMs.

Learning Objectives:
Learn how to create an LLMChain in LangChain.
Learn how to create PromptTemplate's in LangChain
Discover how to sequentially combine multiple LLMChain calls using SequentialChains in LangChain.

Target industry: Software & Marketing Industries.

Tools used:
LangChain
Google Colab notebooks

Bio: 

James is a full-stack engineer that specialises in automating marketing and business processes with AI based solutions.