✦AI Papers
Sign in
Back to Papers

Curated Reading Lists

Read with intention.

Not a firehose — a curriculum. Each list is a structured sequence of papers designed to build understanding from first principles.

🤖
Beginner5 papers· 45 min

How ChatGPT Actually Works

The 5 papers that explain exactly how ChatGPT was built. Read in order: architecture → scale → alignment → refinement → tradeoffs.

1Attention Is All You Need
→
3Scaling Laws for Neural Language Models
+2 more3/5 in DB
🧠
Intermediate5 papers· 50 min

Master AI Reasoning

5 papers that explain how AI systems learn to reason. The progression from "think step by step" to RL-trained reasoning models.

1Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
→
2Self-Consistency Improves Chain of Thought Reasoning in Language Models
→
3Tree of Thoughts: Deliberate Problem Solving with Large Language Models
+2 more
⚡
Applied4 papers· 40 min

Ship AI Without the GPU Bill

4 papers on making models smaller, faster, and cheaper. Directly relevant to every PM deciding what to build on.

1LoRA: Low-Rank Adaptation of Large Language Models
→
3Mixtral of Experts
+1 more3/4 in DB
🛡️
Applied4 papers· 40 min

AI Safety for Product Teams

4 papers on making AI models safe and reliable. Essential if you're shipping AI features that touch real users.

2Constitutional AI: Harmlessness from AI Feedback
+1 more2/4 in DB
📚
Essential7 papers· 75 min

The 7 Papers Every AI PM Must Know

If you only read 7 papers in your life, make it these. The foundations of modern AI — architecture, scale, alignment, and efficiency.

1Attention Is All You Need
→
2BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
+4 more5/7 in DB

New lists added regularly. Browse all papers →