Prompt Engineering for Instruction-Tuned LLM: Text Summarization & Information Retrieval
In today’s fast-paced world, we’re inundated with an overwhelming amount of text, leaving little time to read everything we desire. A fascinating application of large language models is their use in text summarization and information retrieval.
Multiple teams are incorporating this feature into various software applications, including the chatGPT web interface. You can utilize LLM to summarize articles, enabling you to consume the content of numerous articles more efficiently. If you’re interested in a more programmatic approach, this article guides how to achieve that using prompt engineering.
Table of Contents:
Setting Working Environment & Getting Started
Summarize with Specific Purpose
Information Retrieval
Summarize Multiple Texts
My E-book: Data Science Portfolio for Success Is Out!
I recently published my first e-book Data Science Portfolio for Success which is a practical guide on how to build your data science portfolio. The book covers the following topics: The Importance of Having a Portfolio as a Data Scientist How to Build a Data Science Portfolio That Will Land You a Job?
