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How to Set Up Cloud-based Distributed Training to Fine-tune an LLM

Wednesday, March 27, 2024 | 9:00 AM PT

Learn how to fine-tune the nanoGPT model on a cluster of CPUs on Google Cloud Platform service using an Intel-optimized cloud module.

 

Intel offers a set of cloud-native open source reference architectures to help AI cloud developers build and deploy solutions on AWS, Microsoft Azure, and GCP service.

This session is focused on GCP-based model training. You will:

  1. Get an overview of how to fine-tune the 12M-parameter nanoGPT model—building upon the initial codebase by Andrej Karpathy—on a cluster of Intel® Xeon® Scalable processors and;
  2. Then learn how to set up distributed training so you can fine-tune the resulting base LLM to your specific objective, i.e., on your specific task and dataset.

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Skill level: Intermediate

Featured software


 
Ben Consolvo
AI Solutions Engineer Manager, Intel

Eduardo Alvarez
Senior AI Solutions Engineer, Intel

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