Papers
5 articles
Attention Is All You Need — The Paper That Changed AI
Breakdown of 'Attention Is All You Need' (Vaswani et al., 2017) — the transformer paper that underlies every modern LLM including GPT-4 and Claude.
ReAct: Reasoning and Acting — The Paper Behind Agent Frameworks
The ReAct paper (Yao et al., 2022) explained — the Thought/Action/Observation loop that powers LangChain, LlamaIndex, and most production AI agent frameworks.
Chain-of-Thought Prompting — Paper Explained
Chain-of-Thought prompting (Wei et al., 2022) explained — the step-by-step reasoning technique that unlocked complex LLM reasoning and powers modern AI agents.
RAG Paper Explained: Retrieval-Augmented Generation for NLP
Breakdown of the original RAG paper (Lewis et al., 2020) — the retrieval-augmented generation architecture behind every modern knowledge-grounded AI system.
Toolformer Explained: Teaching LLMs to Use Tools
Toolformer (Schick et al., 2023) explained — how LLMs learn to use external tools through self-supervised training, influencing GPT-4 function calling.