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Global AI regulations: Beyond the U.S. and Europe

CIO

Second, some countries such as the United Arab Emirates (UAE) have implemented sector-specific AI requirements while allowing other sectors to follow voluntary guidelines. The G7 collection of nations has also proposed a voluntary AI code of conduct. Similar voluntary guidance can be seen in Singapore and Japan.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. Developers need code assistants that understand the nuances of AWS services and best practices.

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EBSCOlearning scales assessment generation for their online learning content with generative AI

AWS Machine Learning - AI

The goal was ambitious: to create an automated solution that could produce high-quality, multiple-choice questions at scale, while adhering to strict guidelines on bias, safety, relevance, style, tone, meaningfulness, clarity, and diversity, equity, and inclusion (DEI). Sonnet model in Amazon Bedrock. Sonnet in Amazon Bedrock.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

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AI Strategies for Software Engineering Career Growth

Honeycomb

All the conditions necessary to alter the career paths of brand new software engineers coalescedextreme layoffs and hiring freezes in tech danced with the irreversible introduction of ChatGPT and GitHub Copilot. toggling settings so the bot wont learn from our convos at Honeycomb).

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Using John Snow Labs’ Medical Large Language Models on Azure Fabric

John Snow Labs

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

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John Snow Labs Integrates Select Guideline Central Content to Streamline Clinical Guideline Compliance with a New AI-Enhanced Knowledge Agent

John Snow Labs

John Snow Labs, the AI for healthcare company, is now incorporating select Guideline Central content, introducing a turnkey AI solution designed to simplify and enhance clinical decision-making. With our state-of-the-art medical LLMs, any healthcare organization can leverage the power of AI to access select guidelines-based best practices.