Build a Personal Knowledge LLM Wiki (Andrej Karpathy style)

Hosted by Raj Dandekar and Yash Dixit

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LLM Inference Engineering: Theory, Practicals and Research
Dr. Raj Dandekar and Yash Dixit
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What you'll learn

Persistent LLM Wikis Beat RAG for Knowledge Building

Learn why retrieval-and-forget fails at scale and how a compounding wiki architecture solves it with structured, interli

Multimodal Inference Live: Text, PDFs, and YouTube

Watch Claude Code and Gemini 2.5 Pro process 15+ sources in parallel, extracting knowledge from videos, documents

Build Your Own LLM Wiki in Obsidian Tonight

Walk away with a copy-paste template, schema file, and workflow to start building a personal knowledge base with any LLM

Why this topic matters

Most people use LLMs as disposable search engines. Ask, get an answer, lose it. The LLM Wiki pattern flips this: your LLM builds a persistent, interlinked knowledge base from raw sources. Every source you add compounds into a richer graph. Stop re-deriving insights every conversation. Learn the pattern live and build your own tonight.

You'll learn from

Raj Dandekar

CTO and Co-founder Vizuara AI, MIT PhD

Dr. Raj Dandekar holds a PhD from MIT and has taught inference engineering to 500+ engineers from Google, Microsoft, Amazon, NVIDIA, and Anthropic. He has 700+ citations from 20+ research publications and is currently the CTO and Co-founder of Vizuara AI Labs, one of the leading AI companies in the world.

Yash Dixit

Apple AI/ML | MIT | Ex-McKinsey | Research mentor

Yash Dixit is an AI/ML Product Manager at Apple, where he works on bringing machine learning capabilities to Apple's product ecosystem. He holds degrees from MIT and IIT, and spent four years at QuantumBlack (McKinsey's AI division), where he built production-grade ML systems, LLMs, and inference pipelines for Fortune 500 clients. He brings deep hands-on experience in building production AI/ML systems and reference architectures at scale. Yash leads the 1:1 research mentorship track in this course: guiding students through literature review, experiment design, and writing, with the goal of producing a publication-ready research paper.

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Previously at

Massachusetts Institute of Technology
Apple
McKinsey & Company
IIT Madras
Vizuara

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