Go from large language model to market faster with Ray, Hugging Face, and LangChain
382 بار بازدید -
2 هفته پیش
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In this session, you’ll learn
In this session, you’ll learn how to deploy a fully-functional Retrieval-Augmented Generation (RAG) application to Google Cloud using open-source tools and models from Ray, HuggingFace, and LangChain. You’ll learn how to augment it with your own data using Ray on Google Kubernetes Engine (GKE) and Cloud SQL’s pgvector extension, deploy any model from HuggingFace to GKE, and rapidly develop your LangChain application on Cloud Run. After the session, you’ll be able to deploy your own RAG application and customize it to your needs.
Speakers: Alex Zakonov, Brandon Royal, Stephen Allen
Watch more:
All sessions from Google Cloud Next → https://goo.gle/next24
#GoogleCloudNext
Speakers: Alex Zakonov, Brandon Royal, Stephen Allen
Watch more:
All sessions from Google Cloud Next → https://goo.gle/next24
#GoogleCloudNext
2 هفته پیش
در تاریخ 1403/04/11 منتشر شده
است.
382
بـار بازدید شده