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Is it Time to Start Talking About Prompt Architecture in LLMs?

7 min readOct 28, 2023

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Image by the author. (AI generated)

Summarize.

It started with a single word.
Not happy with the results, we tried again.

Summarize the most important points of the article.

Prompt engineering teaches us that more specific prompts are better.

Identify the three most important arguments made in the article and evaluate the strength of the author’s argument based on the evidence provided. Are there any points where you feel the argument could be stronger or more convincing?

Over time, we learned to include more details to guide our favorite LLMs to provide the best answers.

A recent prompt architecture called Least to Most prompting. [1]

Prompt engineering techniques are becoming more complex and elaborate systems, sometimes made of many components. The definition of prompt engineering might be limiting in defining such intricate systems.

In this article, I want to propose a more accurate label for multi-component systems that interface…

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Donato Riccio
Donato Riccio

Written by Donato Riccio

AI Engineer specialized in Large Language Models.