Best Practices for Deploying Language Models

This post outlines best practices for deploying language models, covering aspects such as model selection, hardware considerations, inference optimization techniques (e.g., quantization, batching), monitoring strategies, and strategies for ensuring model reliability and scalability in production environments. It emphasizes practical advice for engineers integrating LLMs into their systems.