#AmazonSageMaker #JumpStart #AIModels #LLM #RAG #Mistral7B #BGEModel #MachineLearning
Want to deploy powerful AI models effortlessly? In this tutorial, we walk through deploying BGE Embedding Model and Mistral 7B Instruct LLM using Amazon SageMaker JumpStart—a one-stop solution for ML deployment. Learn how to set up SageMaker Studio, run JupyterLab notebooks, and leverage RAG for intelligent Q&A systems.
By the end, you’ll have a fully working AI-powered pipeline ready to handle real-world NLP tasks. Stay till the end for a surprise optimization tip!
Related links:
- Join my AI newsletter:
https://upaspro.com/newsletter/
- More information:
https://upaspro.com/hands-on-guide-embeddings-llms-rag-with-sagemaker-studio/
⌚️Timestamps:
00:00- Intro
00:51- Channel welcome
01:01 - What is AWS
04:22 - Getting started for free
06:56 - Sagemaker AI
09:18 - Sagemaker Studio
09:53- Jupyter notebook
10:29- Endpoint for FM (jumpstart)
15:37- Code walkthrough
20:18- Outro
💡 Why Watch?✅ No prior ML expertise needed✅ Hands-on guide for SageMaker JumpStart✅ AI Deployment & RAG workflow explained