#181 Max: The AI Engineer's Core Vocabulary – 10 Essential Concepts Explained (Part 1)

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Episode notes

Tired of feeling lost when AI engineers start talking about "attention mechanisms" and "RAG"? 🤔 This is your guide to the 10 essential concepts that form the bedrock of modern AI engineering.

We’ll talk about:

  • A complete, beginner-friendly guide to the 10 most critical AI concepts you need to know (Part 1).
  • A deep dive into the fundamentals, from Large Language Models (LLMs) and Tokenization to Vectorization and Attention Mechanisms.
  • A clear explanation of the building blocks of AI applications, including Transformers, Self-Supervised Learning, and Fine-tuning.
  • How to give your AI a real memory: a simple breakdown of Retrieval Augmented Generation (RAG) a ... 
 ...  Read more
Keywords
LLMRAGVector DatabaseSupervised Fine-Tuning