AWS Developers | Accelerate generative AI development with Amazon SageMaker notebooks - AWS Machine Learning in 15 @awsdevelopers | Uploaded 11 months ago | Updated 1 hour ago
🌟 Get started with Amazon SageMaker: aws.amazon.com/sagemaker/studio
Fine-tuning large language models (LLMs) allows you to adjust publicly available foundational models to achieve improved performance on your domain-specific tasks. Using notebooks backed by large GPU instances enables rapid prototyping and debugging without cold start container launches. In this session, we will show you how to use Amazon SageMaker fully managed notebooks to fine-tune state-of-the-art open-source models.
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#aws #amazonsagemaker #llms
🌟 Get started with Amazon SageMaker: aws.amazon.com/sagemaker/studio
Fine-tuning large language models (LLMs) allows you to adjust publicly available foundational models to achieve improved performance on your domain-specific tasks. Using notebooks backed by large GPU instances enables rapid prototyping and debugging without cold start container launches. In this session, we will show you how to use Amazon SageMaker fully managed notebooks to fine-tune state-of-the-art open-source models.
🔔 Subscribe to AWS Developers on YouTube: youtube.com/@awsdevelopers?sub_confirmation=1
Follow AWS Developers:
👾 Twitch: twitch.tv/aws
🐦 Twitter: twitter.com/awsdevelopers
💻 LinkedIn: linkedin.com/showcase/aws-developers
#aws #amazonsagemaker #llms