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AI Whitepapers

Deep-dive technical papers on the most important ideas in artificial intelligence. Each paper is written from first principles and designed to give you a genuine, working understanding — not just a buzzword checklist.



AI Agents: The Next Frontier

Autonomous AI agents are moving from research curiosity to production reality. This paper unpacks the architecture of modern agents — perception, planning, memory, and tool use — and examines how multi-agent systems are beginning to tackle tasks that were impossible for single-model pipelines.

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LLMs: Architecture & Applications

From the attention mechanism to scaling laws, this paper walks through how large language models actually work. We cover transformers, pre-training, RLHF, and the key milestones that brought us from GPT-1 to the frontier models of today.

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Responsible AI: Ethics & Governance

The most powerful AI systems are only as good as the values they embody. This paper covers the core principles of responsible AI — fairness, transparency, accountability, and privacy — along with practical frameworks for teams building AI products today.

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Coming Soon

More papers are in progress. Planned topics include:

🔍 RAG: Retrieval-Augmented Generation
🎭 Prompt Engineering at Scale
⚡ Inference Optimization
🏋️ Fine-Tuning Strategies
🔐 AI Security & Red-Teaming
🌐 Multimodal AI Systems

Suggestions Welcome

Have a topic you'd love to see covered? Reach out with your idea.