AWS Machine Learning

NOVEMBER 6, 2023

In addition, we discuss the benefits of Custom Queries and share best practices for effectively using this feature. Refer to Best Practices for Queries to draft queries applicable to your use case. Adapters can be created via the console or programmatically via the API. What is the bank name/drawee name?

APIs 100

APIs Best practices Banking Accountability 100

AWS Machine Learning

SEPTEMBER 1, 2023

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. If an organization has no AI/ML experts in their team, then an API service might be better suited for them. 15K available FM reference Step 1.

Engineering 102

Engineering Accountability Construction APIs 102

AWS Machine Learning

MAY 7, 2024

As a starting point, you can refer to the model documentation which typically includes recommendations and best practices for prompting the model, and examples provided in SageMaker JumpStart. To deploy a model from SageMaker JumpStart, you can use either APIs, as demonstrated in this post, or use the SageMaker Studio UI.

Engineering 89

Engineering Technical Support Chatbots Best practices 89

AWS Machine Learning

OCTOBER 24, 2023

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) through easy-to-use APIs. For example, we can follow prompt engineering best practices to fine-tune an LLM to format dates into MM/DD/YYYY format, which may be compatible with a database DATE column.

Engineering 113

Engineering Healthcare Construction APIs 113

AWS Machine Learning

MARCH 19, 2024

To enhance code generation accuracy, we propose dynamically constructing multi-shot prompts for NLQs. The dynamically constructed multi-shot prompt provides the most relevant context to the FM, and boosts the FM’s capability in advanced math calculation, time series data processing, and data acronym understanding.

Construction 114

Construction Scripts APIs Enterprise 114

AWS Machine Learning

JULY 13, 2023

Amazon SageMaker distributed training jobs enable you with one click (or one API call) to set up a distributed compute cluster, train a model, save the result to Amazon Simple Storage Service (Amazon S3), and shut down the cluster when complete. colsample_bytree – Subsample ratio of columns when constructing each tree.

Metrics 67

Metrics Construction Best practices APIs 67