You Are an AI Engineer
summary
Argues anyone can be an AI engineer without ML research skills and cites salaries up to $600k and Andre Karpathy’s prediction; shows a working retrieval augmented generation pipeline that fixes hallucination, context-window and knowledge-cutoff problems by ingesting a GitHub repo into a vector store (Astra DB) with embeddings, then querying OpenAI GPT‑3.5 Turbo via Langflow to teach the model new facts; builds a Next.js + Vercel AIS SDK UI that renders similarity results (movie posters, links) live and it works; mentions Gemini’s 2M‑token window and Mistral 7B.
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chapters (7)
- 0:00Introduction and motivation
- 2:05What is an AI engineer
- 7:21Types of AI explained
- 12:18Solving GenAI problems with RAG
- 20:04Beyond text with GenUI
- 32:18Future of AI engineering
- 37:15Summary and closing
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