Here’s what you’ll learn:
💠 Transformer
💠 Large Language Model (LLMs)
💠 Tokenization
💠 Vectorization
💠 Attention
💠 Fine-Tuning
💠 Few-shot Prompting
💠 Retrieval-Augmented Generation (RAG)
💠 Vector Database
💠 Agents
💠 Model Context Protocol (MCP)
💠 Context Engineering
💠 Chain of Thought
💠 Multi-modal Models
💠 Small Language Models (SLMs)