The post discusses the deployment of Large Language Models (LLMs), highlighting the benefits of self-hosting for scaling, performance, and privacy/security. It provides tips on understanding deployment boundaries, quantizing models, optimizing inference, consolidating resources, preparing for model changes, and cost-saving with smaller models.

3m read time From infoq.com
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