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Educating a New Generation of Workers

O'Reilly Media

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. To further complicate things, topics like cloud computing, software operations, and even AI don’t fit nicely within a university IT department.

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How to Work Smarter, Not Harder, with Artificial Intelligence

Flipboard

Understanding AI ethics, cloud computing, and communication skills ensures responsible, scalable, and collaborative AI solutions that align with societal and business needs. Cloud Computing: Scaling AI Solutions Cloud computing platforms like AWS, Google Cloud, and Microsoft Azure are indispensable for deploying and scaling AI models.

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Checking In on AI and the Big Five

Flipboard

What Microsoft did that Intel — another company I compared Apple to — did not, was respond to their mobile miss by accepting their loss, building a complementary business (cloud computing), which then positioned them for the AI paradigm.

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Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use

AWS Machine Learning Blog

This challenge arises because their training data mainly includes unstructured text, such as articles, books, and websites, with relatively few examples of structured formats. To try the Bedrock techniques demonstrated in this blog, follow the steps to Run example Amazon Bedrock API requests through the AWS SDK for Python (Boto3).

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Advanced fine-tuning methods on Amazon SageMaker AI

AWS Machine Learning Blog

This process typically involves training from scratch on diverse datasets, often consisting of hundreds of billions of tokens drawn from books, articles, code repositories, webpages, and other public sources. Fine-tuning methods on AWS Fine-tuning transforms a pre-trained model into one that excels at specific tasks or domains.

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How Fastweb fine-tuned the Mistral model using Amazon SageMaker HyperPod as a first step to build an Italian large language model

AWS Machine Learning Blog

Training an LLM is a compute-intensive and complex process, which is why Fastweb, as a first step in their AI journey, used AWS generative AI and machine learning (ML) services such as Amazon SageMaker HyperPod. The team opted for fine-tuning on AWS.

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Amazon Shuts Down Shanghai AI Lab Amid Rising U.S.-China Tensions

ODSC - Open Data Science

The closure comes amid broader layoffs within Amazon Web Services, the company’s cloud computing division, and reflects escalating geopolitical friction between the United States and China. In 2022, it discontinued its Kindle e-book store in China, further reducing its local footprint. China tensions.