Large language models powered by Amazon Sagemaker Jumpstart available in Redshift ML

The article discusses the availability of large language models (LLMs) powered by Amazon SageMaker JumpStart in Amazon Redshift ML. This allows customers to leverage pre-trained LLMs for tasks like text summarization, entity extraction, and sentiment analysis on their Redshift data.

Specifically, the article covers:

• Amazon Redshift ML enables creating, training, and deploying machine learning models on Redshift data using SQL commands
• Customers can now use pre-trained LLMs from Amazon SageMaker JumpStart as part of Redshift ML
• This removes the complexity of building custom machine learning pipelines for generative AI tasks
• To get started, create an endpoint using a supported LLM in SageMaker JumpStart, create a Redshift ML model referencing the endpoint, and invoke the LLM endpoint using SQL commands through Redshift ML
• This capability is now generally available in regions where Amazon Redshift and Amazon SageMaker JumpStart are available