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Amazon Bedrock gains new AI models, tools, and features

AI News

Dr Swami Sivasubramanian, VP of AI and Data at AWS, said: “Amazon Bedrock continues to see rapid growth as customers flock to the service for its broad selection of leading models, tools to easily customise with their data, built-in responsible AI features, and capabilities for developing sophisticated agents.

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Gemma 3: Google launches its latest open AI models

AI News

Google has launched Gemma 3, the latest version of its family of open AI models that aim to set a new benchmark for AI accessibility. models, Gemma 3 is engineered to be lightweight, portable, and adaptableenabling developers to create AI applications across a wide range of devices.

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OpenAI enhances AI safety with new red teaming methods

AI News

Since then, OpenAI has expanded and refined its methodologies, incorporating automated and mixed approaches for a more comprehensive risk assessment. “We are optimistic that we can use more powerful AI to scale the discovery of model mistakes,” OpenAI stated. Despite its benefits, red teaming does have limitations.

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Minimize generative AI hallucinations with Amazon Bedrock Automated Reasoning checks

Flipboard

To improve factual accuracy of large language model (LLM) responses, AWS announced Amazon Bedrock Automated Reasoning checks (in gated preview) at AWS re:Invent 2024. In this post, we discuss how to help prevent generative AI hallucinations using Amazon Bedrock Automated Reasoning checks.

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The State of AI in 2025: Key Takeaways from Stanford’s Latest AI Index Report

Unite.AI

Another trend highlighted in the report is the growing competition between open-source and closed proprietary AI models. In 2024, open-source models improved rapidly, narrowing the performance gap with proprietary models. For example, running models like GPT-3.5 is now 280 times cheaper than it was in 2022.

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Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning Blog

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Journey to AI blog

However, the latest CEO Study by the IBM Institute for the Business Value found that 72% of the surveyed government leaders say that the potential productivity gains from AI and automation are so great that they must accept significant risk to stay competitive. Learn more about how watsonx can help usher in governments into the future.