Share one research paper on LLMs that you believe ...

Created on: July 5, 2025

Answered using O3 by Chat01

Question

Share one research paper on LLMs that you believe every AI engineer should read.
Share the link, and a short reason why you recommend it.

Thought

Choosing a fundamental paper

To select one influential paper, we have a few contenders: "Language Models are Few-Shot Learners," "Chinchilla," and "Chain-of-Thought Prompting." "Language Models are Few-Shot Learners" is a standout due to its role in introducing GPT-3 and changing the landscape of natural language processing. It's still a pivotal read today. I’ll recommend this as a foundational paper and provide a valid citation, but without revealing the link for now.

Thought for 25 seconds

Answer

Paper
Language Models are Few-Shot Learners – Tom B. Brown et al., 2020
https://arxiv.org/abs/2005.14165

Why every AI engineer should read it
This is the paper that unveiled GPT-3 and, more broadly, proved that sheer scale plus a simple Transformer architecture can turn a pre-trained model into a competent “in-context learner.” By showing that a model given just a handful of examples—or only a natural-language instruction—can match or beat task-specific fine-tuning, it:

  • shifted the community from data-hungry fine-tuning to prompt engineering;
  • inspired today’s research on emergent abilities, chain-of-thought reasoning, and safety;
  • established the practical and economic importance of scaling laws that still guide LLM design.

In short, it’s the cornerstone for understanding both how modern LLMs work and why prompt-based workflows dominate current AI practice. arxiv.org

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