generative-ai

The AI Engineer Interview Roadmap I Wish Every Candidate Followed

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Interview

After interviewing 50+ AI Engineer candidates, I noticed a pattern: impressive GenAI projects can get you through the first 10 minutes—but strong fundamentals are what separate candidates who build AI systems from those who truly understand them. I’ve interviewed 50+ AI Engineer candidates over the past few months. Almost every resume looked impressive. RAG. AI … Read more

Why RAG Chatbots Struggle in Production

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“Our RAG chatbot worked perfectly in the POC.But once we scaled to 50,000 documents… accuracy dropped to 60%.” If you’ve worked with enterprise RAG systems, you’ve probably heard this story. And if you ask most engineers what went wrong, you’ll hear answers like: ❌ These sound smart❌ They sometimes help❌ But they miss the real … Read more

RAG using Llama 2, Langchain and ChromaDB

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Introduction Objective Use Llama 2.0, Langchain and ChromaDB to create a Retrieval Augmented Generation (RAG) system. This will allow us to ask questions about our documents (that were not included in the training data), without fine-tunning the Large Language Model (LLM). When using RAG, if you are given a question, you first do a retrieval … Read more