Milestone 5: NLP & Generative AI

🟪 Milestone 5: Natural Language Processing & Generative AI

Master the core technologies behind LLMs (Large Language Models) and how to build applications on top of them.

📚 Slow-Paced Deep Dives (University Modules)

• Module 1: Word Embeddings (How Computers Read): GENAI-501. Semantic maps and vectors.
• Module 2: The Transformer (The Brain of ChatGPT): GENAI-502. Self-attention and context.
• Module 3: RAG (Retrieval-Augmented Generation): GENAI-503. Giving AI a private library.
• Module 4: AI Agents (The Final Frontier): GENAI-504. Moving from talking to doing.

🚀 The Senior’s Perspective

• Advanced GenAI Architectures: Vector DBs, Fine-tuning, and LangChain.

🥅 Milestone Goals

1. Convert human text into Numerical Vectors.
2. Explain the Self-Attention mechanism in transformers.
3. Build a RAG Pipeline to prevent AI hallucinations.
4. Orchestrate AI Agents to perform multi-step tasks.

:::tip Quick Start Check out the GenAI Foundations Overview for a summary of the basics. :::