Deploying Llama3 on Amazon SageMaker

SLM in Action: Arcee Spark, Llama-3.1 8B, improved!Подробнее

Run inference on Amazon SageMaker | Step 1: Deploy models | Amazon Web ServicesПодробнее

Deploying Hugging Face models with Amazon SageMaker and AWS Inferentia2Подробнее

Retrieval-Augmented Generation chatbot, part 1: LangChain, Hugging Face, FAISS, AWSПодробнее

Deploy LLAMA 2 on AWS SageMaker - Production-Ready | LLMOpsПодробнее

Amazon SageMaker Asynchronous Inference Explained + TutorialПодробнее

#3-Deployment Of Huggingface OpenSource LLM Models In AWS Sagemakers With EndpointsПодробнее

Managed RAG Deployment on Amazon Bedrock - Deployed in MinutesПодробнее

SageMaker JumpStart: deploy Hugging Face models in minutes!Подробнее

AWS On Air ft. Llama 2 foundation models now available in Amazon SageMaker JumpStartПодробнее

Build Your API for Llama 2 on AWS: Lambda Function and API GatewayПодробнее

Fine Tune Any Model Locally in AWS SageMaker on Your Own DatasetПодробнее

Launch your own LLM (Deploy LLaMA 2 on Amazon SageMaker with Hugging Face Deep Learning Containers)Подробнее

Deploy AI Models on Amazon SageMaker using Pulumi Python IaCПодробнее

Fine tune Foundation Models on Amazon SageMakerПодробнее

Your Own Llama 2 API on AWS SageMaker in 10 min! Complete AWS, Lambda, API Gateway TutorialПодробнее

Deploy Llama 2 on AWS SageMaker using DLC (Deep Learning Containers)Подробнее

Turn Your AI Model into a Real Product (Amazon SageMaker, API Gateway, AWS Lambda, Next.js, Python)Подробнее

Llama 70B on SageMaker set up and run inference in the cloudПодробнее