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Automating Model Risk Compliance: Model Monitoring

DataRobot Blog

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Assumptions used in designing a machine learning model may be quickly violated due to changes in the process being modeled.

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Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart

AWS Machine Learning Blog

The following video highlights the dialogue-guided IDP system by processing an article authored by the Federal Reserve Board of Governors , discussing the collapse of Silicon Valley Bank in March 2023. An LLM is a type of AI model designed to understand and generate human-like text.

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What is Retrieval Augmented Generation (RAG)?

phData

As technologists, understanding and keeping up with these latest techniques is vital. Simply put, RAG is a prompt engineering technique used to enhance the output of a Large Language Model (LLM). One such development that has proven itself of considerable value is Retrieval Augmented Generation (RAG).

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Building and Deploying CV Models: Lessons Learned From Computer Vision Engineer

The MLOps Blog

Hopefully, at the end of this blog, you will know a bit more about finding your way around computer vision projects. In such cases, consider padding images or using techniques like random cropping during data augmentation to maintain the original aspect ratio while still providing input of consistent dimensions to the network.

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