Knowledge Base
AI Learning Notes
A collection of notes on AI, machine learning, and related technologies.
Categories
15 notes
Core Concepts
AI, ML, DL fundamentals, neural networks, AGI
12 notes
Model Architecture
Transformer, attention mechanisms, model components
18 notes
Training & Learning
Pre-training, fine-tuning, RLHF, reinforcement learning
10 notes
Prompt Engineering
Prompt design, in-context learning, CoT
8 notes
RAG & Retrieval
Vector search, embedding, RAG systems
6 notes
AI Agents
Autonomous agents, tool use, planning
Recent Notes
Model Architecture
Understanding Attention Mechanism
How attention works in transformers and why it's so effective.
Jan 15
Prompt Engineering
Chain-of-Thought Prompting
Step-by-step reasoning for better LLM outputs.
Jan 12
RAG & Retrieval
Vector Embeddings Explained
How text is converted to numbers and why it matters.
Jan 10