Summary
Taking an LLM application from development into real-world production involves navigating many complex challenges around aspects such as scalability, monitoring, and ensuring consistent performance. The deployment phase requires careful consideration of both general web application best practices and LLM-specific requirements. If we want to see benefits from our LLM application, we have to make sure it’s robust and secure, it scales, we can control costs, and we can quickly detect any problems through monitoring.
In this chapter, we dived into deployment and the tools used for deployment. In particular, we deployed applications with FastAPI and Ray, while in earlier chapters, we used Streamlit. We’ve also given detailed examples for deployment with Kubernetes. We discussed security considerations for LLM applications, highlighting key vulnerabilities like prompt injection and how to defend against them. To monitor LLMs, we highlighted key metrics to track for...
