Large Language Models (LLMs) are incredible—they power tools like fraud detectors, personalized recommendations, and even GenAI travel assistants. But let’s be real: these AI models come with a hefty energy bill. Enter GreenStream, a framework designed to tackle this challenge by making LLM inference in stream processing applications (SPAs) more sustainable. Here’s what you need to know.
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Ever wonder how technologies like Apache Kafka or RabbitMQ perform when the stakes are high—like in military coordination or disaster response? It’s not just about handling large amounts of data anymore; it’s about reliability under extreme conditions. A recent paper dives deep into this topic, analyzing whether today’s data streaming platforms can truly meet the demands of mission-critical applications. Here’s a quick glimpse.
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An introduction to stream processing systems, their applications in real-time data analysis and prototyping using stream2gym.
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