Learn how organizations can fine tune or re-train large language models to meet the needs of their unique use cases. By fine tuning an LLM with your own domain data you can provide the model with the vocabulary, context, and expertise needed to operate in your environment. Amazon SageMaker AI offers various model fine-tuning techniques such as supervised fine tuning, preference alignment, continued pre-training, and re-training to fine tune open source LLMs for your domain adapted LLMS.
To learn more, visit http://go.aws/4hUrxiX
About AWS
Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance.
Subscribe to AWS: https://go.aws/subscribe
Create a free AWS account: https://go.aws/signup
Try AWS for free: https://go.aws/free
Connect with an expert: https://go.aws/contact
Explore more: https://go.aws/more
Next steps:
Explore on AWS in Analyst Research: https://go.aws/reports
Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace
Join the AWS Partner Network: https://go.aws/partners
Learn more on how Amazon builds and operates software: https://go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb
Why AWS?
Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance.
#AWS #AmazonSageMakerAI #SageMaker #AmazonWebServices #CloudComputing
