Presentation: Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale
Quick Answer
Adi Polak discusses the shift from simple prompting to context engineering and memory management in AI systems, emphasizing the need for rich content and state-aware applications for improved decision-making.
Quick Take
He highlights the evolution from to context-aware agents, advocating for a more nuanced approach to AI interactions.
Key Points
- Transitioning from stateless applications to state-aware systems enhances AI decision-making.
- allows AI to interpret complex scenarios beyond basic prompts.
- Polak emphasizes the importance of memory management in distributed AI systems.
- The shift includes using rich content to inform AI agents for better outcomes.
- Prompt engineering involves role assignment, few-shot examples, and chains of thought.
Source Excerpt
Adi Polak explains how to scale agentic AI by shifting from stateless prompt engineering to stateful, low-latency with Apache Kafka and Flink.
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