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Engineering Prompt Chains With Language Models to Craft a “Summarizer Almighty” Web App

LucianoSphere (Luciano Abriata, PhD)
Towards AI
Published in
7 min readApr 15, 2023

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Photo by Andreas Klassen on Unsplash

Summarizing long texts or scanning them for pieces of information can be a tedious task, especially when you’re pressed for time. And certainly very hard when you are looking for a very specific piece of information in a huge document that might contain the answer but in an obfuscated form or in a short sentence lost inside a large paragraph… or that might just not be there at all!

What if you could automate the process of scanning a document to extract relevant part, summarize it, or answer highly specific questions? That’s exactly what my free web app called Summarizer Almighty, the result of this project, can do!

Try out Summarizer Almighty and treat yourself to a productivity boost by using the app for free in the link provided in the article. And learn about this interesting project and about concepts such as prompt engineering and prompt chaining right from the next paragraph.

About Summarizer Almighty

Summarizer Almighty uses the GPT-3.5-turbo language model, which is the same model that powers ChatGPT, to analyze long documents and extract relevant information based on the user’s input, which can be, for example, a question or an instruction. In this article, we’ll take a closer look at how Summarizer Almighty works, which entails some prompt engineering and prompt chaining, and we’ll look at how it can be applied to different use cases.

Wonder what prompt engineering and prompt chaining are?
- Prompt chaining refers to the practice of breaking down a complex question or task into smaller, more manageable prompts that can be fed into a language model sequentially to generate a final output.
- Meanwhile, prompt engineering refers to the process of carefully crafting…

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Published in Towards AI

The leading AI community and content platform focused on making AI accessible to all. Check out our new course platform: https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev

Written by LucianoSphere (Luciano Abriata, PhD)

https://www.lucianoabriata.com | Scientific writing, technology integrator, programming, biotech, bioinformatics.| Have a job for me? Contact me in ES FR EN IT

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