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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning Blog

For instance, in an application that recommends movies, features could include previous ratings, preference categories, and demographics. To simplify, you can build a regression algorithm using a user’s previous ratings across different categories to infer their overall preferences. This can be done with algorithms like XGBoost.

AI 105
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Knowledge Graph QA using Gemini and NebulaGraph Lite

Towards AI

It includes real-world entities like objects, people, places, and situations. The core components of KG are : Entities are real-world items or concepts. A Knowledge Graph serves as a graphical portrayal of interconnected ideas, items, and their relationships, depicted as a network.

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Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning Blog

Forward-looking statements may appear throughout this report, including the following sections: “Business” (Part I, Item 1 of this Form 10-K), “Risk Factors” (Part I, Item 1A of this Form 10-K), and “Management’s Discussion and Analysis of Financial Condition and Results of Operations” (Part II, Item 7 of this Form 10-K).

ML 92
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Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium

AWS Machine Learning Blog

As long as the environmental variables fall into one of the following categories, compilation of Neuron graphs will be skipped. The Dolly dataset contains approximately 15,000 instruction-following records for various categories, such as, question answering, summarization, and information extraction. It is available under the Apache 2.0

AWS 97
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Former U.S. Chief Data Scientist on past and future of data science

Snorkel AI

Historically, groups ranging from the Mayan people of the Yucutan Peninsula to World War II code breakers were all doing data science. They were doing some of that earliest work, but often the research scientist was doing something more academic and they never got pulled into the product team’s world.

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Former U.S. Chief Data Scientist on past and future of data science

Snorkel AI

Historically, groups ranging from the Mayan people of the Yucutan Peninsula to World War II code breakers were all doing data science. They were doing some of that earliest work, but often the research scientist was doing something more academic and they never got pulled into the product team’s world.