zero to ai-native
starthe best papers, guides, blogs and lectures on ai.
straight from the people building it. grouped by level, so you always know what to read next.
117 reads · 31 sources
scroll for more →
intro
34Building Trusted AI in the Enterprise
How AI Is Transforming Work at Anthropic
Identifying and Scaling AI Use Cases
AI in the Enterprise
The State of Enterprise AI 2025
Prompt Engineering
Foundational LLMs & Text Generation
Gemini for Workspace Prompting Guide 101
AI Agents for Beginners
Generative AI for Beginners
Generative AI in Practice
Agentic AI on the Rise
Prompt Engineering Interactive Tutorial
The Financial Services Guide to Building Autonomous AI Agents
Gemini (whitepaper)
Llama Responsible Use Guide
DeepSeek-R1 Usage Recommendations
LLM University (LLMU)
AI Agents Course
LLM Course

Things We Learned About LLMs in 2024

Neural Networks: Zero to Hero

Deep Dive into LLMs like ChatGPT

Software 2.0
CS229: Machine Learning
6.S191: Introduction to Deep Learning
AI Eats the World

The Illustrated Transformer

Neural Networks

The Year in LLMs 2025

Catching Up on the Weird World of LLMs
Machines of Loving Grace
Policy on the AI Exponential

The Intelligence Age
build
37The Complete Guide to Building Skills for Claude
Building Effective AI Agents
Building Effective Agents (essay)
Project Vend: Phase Two
Project Deal
Writing Effective Tools for Agents
A Practical Guide to Building Agents
From Experiments to Deployments
GPT-5 Prompting Guide
Embeddings & Vector Stores
Agents
Gemini Enterprise Prompt Guide
MCP Introduction
GPT-4.1 Prompting Guide
Evaluation Best Practices
Llama Prompting Guide
Prompting Capabilities
Smol Course
Context Rot: How Input Length Hurts LLM Performance
Evaluating Chunking Strategies for Retrieval
Generative Benchmarking

LLM Powered Autonomous Agents

Prompt Engineering (In-Context Prompting)
Why We Built Our Own Background Agent
How To Build Agents Users Can Trust
How Ramp Fixes Merchant Matches with AI

Patterns for Building LLM-based Systems & Products

What We Learned from a Year of Building with LLMs

Your AI Product Needs Evals

A Field Guide to Rapidly Improving AI Products

Building LLM Applications for Production
CS224N: NLP with Deep Learning

State of LLMs 2025

Useful Patterns for Building HTML Tools

Prompt Injection Explained

Using LLMs to Help Me Write Code

Agents (Chip Huyen)
deep
46Claude Code: Best Practices for Agentic Coding
Effective Context Engineering for AI Agents
When AI Builds Itself
Exploring Model Welfare
Anthropic Economic Index: Economic Primitives
Anthropic Economic Index: Geographic & Enterprise Adoption
o1 System Card
OpenAI Model Spec
Practices for Governing Agentic AI Systems
Model Disproves the Erdős Unit Distance Conjecture
Agents Companion
Solving Domain-Specific Problems & MLOps for Gen AI
Generative AI Lens (Well-Architected)
Claude's Constitution
Alignment Faking in Large Language Models
Fine-tuning Best Practices
Gemini 3 Pro Frontier Safety Framework Report
Gemini Achieves IMO Gold Medal
AlphaGeometry2
Deep RL Course
Attention Is All You Need
Scaling Laws for Neural Language Models
Language Models are Few-Shot Learners (GPT-3)
Training Language Models to Follow Instructions (InstructGPT)
Chain-of-Thought Prompting Elicits Reasoning
Training Compute-Optimal LLMs (Chinchilla)
LLaMA: Open and Efficient Foundation Language Models
Retrieval-Augmented Generation (RAG)
LoRA: Low-Rank Adaptation of Large Language Models
Constitutional AI: Harmlessness from AI Feedback
Mixtral of Experts
Mistral 7B
DeepSeek-R1: Incentivizing Reasoning via RL
DeepSeek-V3 Technical Report
YaRN: Efficient Context Window Extension
Qwen2.5 Technical Report

Extrinsic Hallucinations in LLMs

Reward Hacking in Reinforcement Learning
CS336: Language Modeling from Scratch
CS25: Transformers United
The Economics of Transformative AI
CS153: Frontier Systems
MS&E435: Economics of the AI Supercycle
The Adolescence of Technology
Situational Awareness: The Decade Ahead
