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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 117
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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 115
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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!

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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 95
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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.

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Innovate or Stagnate: Top 4 Customer Service Trends for 2024

Comm100

This blog will delve into the top four customer service trends that are expected to take center stage in 2024. The economic potential of generative AI: The next productivity frontier Of all the customer service trends for 2024, the advent of Generative AI is likely to have the greatest impact.

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Build your gen AI–based text-to-SQL application using RAG, powered by Amazon Bedrock (Claude 3 Sonnet and Amazon Titan for embedding)

AWS Machine Learning

The produced query should be functional, efficient, and adhere to best practices in SQL query optimization. Solution overview This solution is primarily based on the following services: Foundational model We use Anthropics Claude 3.5 Sonnet on Amazon Bedrock as our LLM to generate SQL queries for user inputs.