In this comprehensive video tutorial, I will show you how to effortlessly deploy large language models (LLMs) on AWS SageMaker using the unique DLC (Deep Learning Containers) service. With the ability to deploy models like Falcon 7B and MPT7B, you can quickly configure endpoints and create the necessary infrastructure for seamless deployment.

I will guide you through the entire process, starting from the initial setup of SageMaker to the configuration of LLM model endpoints. You'll learn how to leverage the power of AWS Lambda to trigger events and generate responses using a function URL. This integration enables you to seamlessly incorporate LLM models into your applications and services.

By following this step-by-step guide, you'll gain the confidence and knowledge to deploy LLMs on AWS SageMaker with ease. Subscribe now to embark on your journey towards harnessing the full potential of large language models for your projects. Join me in this video as we explore the fascinating world of LLM deployment on AWS SageMaker using DLC.

AWS Sagemaker: https://aws.amazon.com/sagemaker/
Falcon 7B Huggingface: https://huggingface.co/tiiuae/falcon-40b
AI Anytime's Github: https://github.com/AIAnytime

#sagemaker #aws #ai