Deploying Llama3 on Amazon SageMaker @juliensimonfr
Deploying Llama3 on Amazon SageMaker  @juliensimonfr
Uploaded April 2024 | Updated September 2026, 2 weeks ago
In this video tutorial, I'll show you how easy it is to deploy the Meta Llama 3 8B model using Amazon SageMaker and the latest Hugging Face Text Generation Inference containers (TGI 2.0). Follow along as I guide you through the process of setting up synchronous and streaming inference, making text generation tasks a breeze!

The Meta Llama 3 8B model is a powerful tool for natural language processing, and with Amazon SageMaker's scalable infrastructure, you can leverage this model efficiently. I'll take you through the step-by-step process, from setting up the environment to running inference, ensuring you have the knowledge to implement this in your own projects.

So, whether you're a data scientist, machine learning engineer, or developer interested in text generation and NLP, this video is for you!

#MachineLearning #NLG #AmazonSageMaker #HuggingFace #TextGeneration

⭐️⭐️⭐️ Don't forget to subscribe to be notified of future videos. Follow me on Medium at julsimon.medium.com or Substack at https://julsimon.substack.com. ⭐️⭐️⭐️

Model:
huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct

Notebook:
gitlab.com/juliensimon/huggingface-demos/-/blob/main/llama3/deploy_llama3_8b.ipynb

Deep Learning Containers:
github.com/aws/deep-learning-containers/blob/master/available_images.md
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Deploying Llama3 on Amazon SageMaker

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