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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.

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New Case Study Agentic AI

Case Study: Community Resource Navigator

Design of a cost-aware, location-aware multi-agent platform for finding food, formula and diaper resources on AWS: validation gateway, scheduled data sync, DynamoDB model, and an honest implementation status. Work in progress.

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AWS Agentic AI

Architecting Enterprise-Grade Agentic AI: AgentCore, LangGraph & MCP

A reference architecture for secure, observable, cost-aware multi-agent systems on AWS: orchestration, tool governance, human approval, a formula-based cost model, and when not to use any of it.

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Computer Vision VLMs

Vision-Language Models: Modern Computer Vision at the Frontier

Computer vision has converged with language. This paper covers vision transformers, CLIP-style alignment, multimodal LLMs, SAM 2 for video segmentation, diffusion-based generation, and the rise of video and world models.

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AI Agents Autonomy

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 Transformers

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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Ethics Governance

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
🎨 Diffusion & Generative CV

Suggestions Welcome

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