GenAI Engineering — Interview Prep
The full study path I'm following for a Generative AI Engineer interview at GFT — starting with self-assessment and prep questions, then a deep dive into every concept on the 4-page cheatsheet: LLMs, prompting, RAG, agents, guardrails, LLMOps. Public but assembled for my own revision.
15 parts. Posts marked Coming soon are still being written.
- Part 01My Strengths & Weaknesses for this roleRead →
- Part 02Why I want to work for GFTRead →
- Part 03Questions I have to ask GFTRead →
- Part 04The 4-page cheatsheetRead →
- Part 05LLM Foundations — transformers, RLHF, samplingRead →
- Part 06Prompting & Reasoning LoopsRead →
- Part 07RAG & Retrieval Deep DiveRead →
- Part 08Memory & State ManagementRead →
- Part 09Multi-Agent Systems & Tool UseRead →
- Part 10Guardrails, Security & LLMOpsRead →
- Part 11Cost, Latency & DeploymentRead →
- Part 12Language Modeling — the LLM foundationRead →
- Part 13Text Classification — Deep LearningRead →
- Part 14Information Retrieval — the R in RAGRead →
- Part 15Question Answering — LLM pipelinesRead →