Remove 2024 Remove APIs Remove Best practices
article thumbnail

Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning

In this session, learn best practices for effectively adopting generative AI in your organization. This session covers best practices for a responsible evaluation. First, hear an overview of identity-aware APIs, and then learn how to configure an identity provider as a trusted token issuer.

APIs 91
article thumbnail

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2

AWS Machine Learning

The prompt uses XML tags following Anthropic’s Claude best practices. An alternative approach to routing is to use the native tool use capability (also known as function calling) available within the Bedrock Converse API. Refer to this documentation for a detailed example of tool use with the Bedrock Converse API.

APIs 116
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

adds new APIs to customize GraphStorm pipelines: you now only need 12 lines of code to implement a custom node classification training loop. To help you get started with the new API, we have published two Jupyter notebook examples: one for node classification, and one for a link prediction task. Specifically, GraphStorm 0.3

APIs 113
article thumbnail

How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning

In 2024, this activity took an account manager (AM) up to 40 hours per customer. To help improve this process, in October 2024 we launched an AI-powered account planning draft assistant for our sales teams, building on the success of Field Advisor , an internal sales assistant tool.

article thumbnail

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

AWS Machine Learning

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. This data provides a benchmark for expected agent behavior, including the interaction with existing APIs, knowledge bases, and guardrails connected with the agent. user id 111 Today: 09/03/2024 Certainly!

article thumbnail

Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning

This setup follows AWS best practices for least-privilege access, making sure CloudFront can only access the specific UI files needed for the annotation interface. Programmatic setup Alternatively, you can create your labeling job programmatically using the CreateLabelingJob API.

APIs 89
article thumbnail

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning

First we discuss end-to-end large-scale data integration with Amazon Q Business, covering data preprocessing, security guardrail implementation, and Amazon Q Business best practices. Step Functions orchestrates AWS services like AWS Lambda and organization APIs like DataStore to ingest, process, and store data securely.