# @awomanindatascience on Instagram

- **Type:** Image
- **Original URL:** https://www.instagram.com/p/Dd-xG7hlKl9
- **Gondola URL:** https://gondola.cc/posts/71535737-awomanindatascience-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/9699dfb842.jpg
- **Posted:** 2026-10-02T05:47:09.000+00:00
- **Account Owner:** Chinar Arora (@awomanindatascience) — https://gondola.cc/awomanindatascience

## Caption

5 papers every AI engineer should read 📚

Tools change. Ideas last. These five explain most of what you use today:

1️⃣ Attention Is All You Need (2017): the transformer
https://arxiv.org/abs/1706.03762

2️⃣ Language Models are Few-Shot Learners (2020): GPT-3 and in-context learning
https://arxiv.org/abs/2005.14165

3️⃣ Training language models to follow instructions with human feedback (2022): InstructGPT and RLHF
https://arxiv.org/abs/2203.02155

4️⃣ Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (2022)
https://arxiv.org/abs/2201.11903

5️⃣ DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning (2025)
https://arxiv.org/abs/2501.12948

Tip: read the abstract, then the figures, then the method. Don’t start at page one.

Save this for later 🔖 Which paper should I break down first?

awomanindatascience
#AI #MachineLearning #LLM #AIEngineering #DeepLearning Transformers ReasoningModels

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## Tags

llm, deeplearning, machinelearning, ai, aiengineering

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