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31 Questions that Shape Fortune 500 ML Strategy

Towards AI

In May 2021, Khalid Salama, Jarek Kazmierczak, and Donna Schut from Google published a white paper titled “Practitioners Guide to MLOps”. The white paper goes into great depth on the concept of MLOps, its lifecycle, capabilities, and practices. Source: Image by the author. Source: Image by the author.

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Secure your Amazon Kendra indexes with the ACL using a JWT shared secret key

AWS Machine Learning Blog

JWTs are signed using a cryptographic algorithm to ensure that the claims can’t be altered after the token is issued. Header – It contains parts like type of the token, which is JWT, the signing algorithm being used, such as HMAC SHA256 or RSA, and an optional key identifier. For Algorithm , choose the HS256 algorithm.

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The 2021 Executive Guide To Data Science and AI

Applied Data Science

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. This allows for a much richer interpretation of predictions, without sacrificing the algorithm’s power.

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Search for answers accurately using Amazon Kendra S3 Connector with VPC support

AWS Machine Learning Blog

When end-users ask natural language questions, Amazon Kendra uses machine learning (ML) algorithms to understand the context and return the most relevant answers. For Description , enter AWS White Paper documentation. In the Specify data source details section, for Data source name , enter aws_white_paper. Choose Next.

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Harvard professor: DataPerf and AI’s need for data benchmarks

Snorkel AI

With that said, I’m actually a faculty member at Harvard, and one of my key goals is to help—both academically as well as from an industry perspective—work with MLCommons , which is a nonprofit organization focusing on accelerating benchmarks, datasets, and best practices for ML (machine learning). What’s the silicon substrate?

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Harvard professor: DataPerf and AI’s need for data benchmarks

Snorkel AI

With that said, I’m actually a faculty member at Harvard, and one of my key goals is to help—both academically as well as from an industry perspective—work with MLCommons , which is a nonprofit organization focusing on accelerating benchmarks, datasets, and best practices for ML (machine learning). What’s the silicon substrate?

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LLMWare Introduces Model Depot: An Extensive Collection of Small Language Models (SLMs) for Intel PCs

Marktechpost

Similarly, ONNX provides an open-source format for AI models, both deep learning and traditional ML, with a current focus on the capabilities needed for inferencing. The processing time shows the total runtime for all 21 questions: Detailed information about LLMWare ’s testing methodology can be found in the white paper.