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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning Blog

We build a model to predict the severity (benign or malignant) of a mammographic mass lesion trained with the XGBoost algorithm using the publicly available UCI Mammography Mass dataset and deploy it using the MLOps framework. The full instructions with code are available in the GitHub repository. Choose Create key.

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Fine-tune multimodal models for vision and text use cases on Amazon SageMaker JumpStart

AWS Machine Learning Blog

In the metadata.jsonl file, each example is a dictionary that contains three keys named file_name , prompt , and completion. prompt defines the text input prompt and completion defines the text completion corresponding to the input prompt. jpg", "prompt": "what is the contact person name mentioned in letter?", "completion": "P.

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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

Going from Data to Insights LexisNexis At HPCC Systems® from LexisNexis® Risk Solutions you’ll find “a consistent data-centric programming language, two processing platforms, and a single, complete end-to-end architecture for efficient processing.” These tools are designed to help companies derive insights from big data.

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Best AI Games (2023)

Marktechpost

XCOM: Enemy Unknown The 2012 XCOM reboot’s AI was a major factor in the game’s popularity. Minecraft Since its release in 2012, Minecraft has always impressed. Grand Theft Auto 5 Rockstar has made great strides in artificial intelligence, and Grand Theft Auto 5 is another prime example.

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Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

AWS Machine Learning Blog

Complete the following steps to edit an existing space: On the space details page, choose Stop space. Generative AI-powered tools on JupyterLab Spaces Generative AI, a rapidly evolving field in artificial intelligence, uses algorithms to create new content like text, images, and code from extensive existing data. Choose Create space.

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Grading Complex Interactive Coding Programs with Reinforcement Learning

The Stanford AI Lab Blog

[Summary] tl;dr: A tremendous amount of effort has been poured into training AI algorithms to competitively play games that computers have traditionally had trouble with, such as the retro games published by Atari, Go, DotA, and StarCraft II. Can the same algorithms that master Atari games help us grade these game assignments?