AI training is resource-intensive. It takes massive data sets, advanced algorithms, and specialized hardware (read: expensive GPUs) to teach a model how to understand language, image, or audio. But even after that training is complete, the inferences that run (the process of generating outputs) may be taxed in the same way. Real-time LLM question for each user request […]
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Why AI systems use vector databases to improve performance and reduce costs
