Update publish date

Signed-off-by: Chris Abraham <cjyabraham@gmail.com>

Author: cjyabraham

_community_blog/optimize-llms.md

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 title: "Optimize LLMs for Efficiency & Sustainability"
 ext_url: /blog/optimize-llms/
-date: Feb 18, 2025
+date: Feb 19, 2025
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 The rapid growth of large language model (LLM) applications is linked to rapid growth in energy demand. According to the International Energy Agency (IEA), data center electricity consumption is projected to roughly double by 2026 primarily driven by AI. This is due to the energy-intensive training requirements for massive LLMs – however, the increase in AI Inferencing workloads also plays a role. For example, compared with traditional search queries, a single AI inference can consume about [10x more energy](https://www.weforum.org/stories/2024/07/generative-ai-energy-emissions/).