Inference Llama 2 models with real-time response streaming using Amazon SageMaker

This article discusses how to reduce latency and improve perceived response times when performing inference on large language models like Llama 2 using Amazon SageMaker. It covers two approaches:

Specifically, the article covers:

• Overview of the solution to address latency issues using SageMaker real-time inference with response streaming for Llama 2 models
• Approach 1: Deploying Llama 2 Chat model using Hugging Face Text Generation Inference (TGI) containers on SageMaker for real-time inference with response streaming
• Approach 2: Deploying Llama 2 Chat model using Large Model Inference (LMI) containers with DJL Serving on SageMaker for real-time inference with response streaming
• Instructions to perform inference and stream responses in real-time using both approaches
• Conclusion highlighting the benefits of response streaming for improved user experience with generative AI applications