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Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

Using SageMaker with MLflow to track experiments The fully managed MLflow capability on SageMaker is built around three core components: MLflow tracking server This component can be quickly set up through the Amazon SageMaker Studio interface or using the API for more granular configurations.

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

AWS Machine Learning

For a qualitative question like “What caused inflation in 2023?”, However, for a quantitative question such as “What was the average inflation in 2023?”, The prompt uses XML tags following Anthropic’s Claude best practices. For instance, instead of saying “What caused inflation in 2023?”, Look at the indicators.”

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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 117
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Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines

AWS Machine Learning

In this post, we provide some best practices to maximize the value of SageMaker Pipelines and make the development experience seamless. Best practices for SageMaker Pipelines In this section, we discuss some best practices that can be followed while designing workflows using SageMaker Pipelines.

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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.

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Americas FSI Digital Commentary: 3 Ways to Accelerate Digital Strategy in 2023

Cisco - Contact Center

Cloverhound is skilled in delivering solutions with the best of innovation and simplicity. Accelerated Digital Transformation Framework. Fundamentally, does your organization have the digital-ready foundation in place to accomplish business goals?

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

Code talks – In this new session type for re:Invent 2023, code talks are similar to our popular chalk talk format, but instead of focusing on an architecture solution with whiteboarding, the speakers lead an interactive discussion featuring live coding or code samples. Some of these appeal to beginners, and others are on specialized topics.