AI & Efficiency
AI Memory Systems Fundamentals
Understand how AI systems store, retrieve, and use memory for enhanced capabilities.
50 minutes
advanced
3 modules
About This Course
Explore the fundamental concepts of AI memory systems. Learn why AI needs memory beyond context windows, understand different memory types, and discover how retrieval-augmented generation (RAG) enables AI to access external knowledge effectively.
What You'll Learn
- Explain why AI systems need memory beyond context windows
- Distinguish between working
- long-term
- and episodic memory types
- Describe RAG architecture and retrieval strategies
- Apply evaluation metrics to assess memory system performance
Course Content
1
The Memory Challenge
Why AI needs memory, context windows, the M×N integration problem
2
RAG Architecture
Retrieval-augmented generation, hybrid retrieval, vector databases
3
Building Knowledge Systems
Knowledge bases, semantic memory, evaluation with RAGAS
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This course includes:
- 50 minutes of content
- 3 modules
- Certificate upon completion
- Full lifetime access