Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium aws.amazon.com Post date January 17, 2024 No Comments on Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium Related External Tags Advanced (300), Amazon SageMaker, AWS Inferentia, Intermediate (200) ← Use mobility data to derive insights using Amazon SageMaker geospatial capabilities → My Career in Data Season 2 Episode 2: John Ladley, Principal, Sonrai Leave a ReplyCancel reply This site uses Akismet to reduce spam. Learn how your comment data is processed.