Deploying Open-Source Language Models on AWS Lambda
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In this article, I take you through the process of deploying a smaller open-source Language Model (LLM) on AWS Lambda. The goal is to experiment with Microsoft Phi-2, a 2.7 billion parameter LLM, and explore its applications in scenarios like processing sensitive data or generating outputs in languages other than English. I walk you through setting up the environment, creating a Dockerized Lambda function, and deploying the LLM. Throughout the tutorial, we delve into performance metrics, cost considerations, and potential optimizations. I even provide a script to automate the deployment process. Join me to explore the world of LLMs on AWS Lambda, considering factors such as performance, cost, and real-world feasibility.