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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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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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5 Jobs That Will Use Prompt Engineering in 2023

ODSC - Open Data Science

With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must. So we have to ask, what kind of job now and in the future will use prompt engineering as part of its core skill set?

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Shaping the Future of Artificial Intelligence AI: The Significance of Prompt Engineering for Progress and Innovation

Marktechpost

What is prompt engineering? For developing any GPT-3 application, it is important to have a proper training prompt along with its design and content. Prompt is the text fed to the Large Language Model. Prompt engineering involves designing a prompt for a satisfactory response from the model.

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Pace of innovation in AI is fierce – but is ethics able to keep up?

AI News

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. Take a look at how the BBC is looking to utilise generative AI and ensure it puts its values first.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning Blog

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. Effective prompt engineering is key to developing natural language to SQL systems.

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Designing generative AI workloads for resilience

AWS Machine Learning Blog

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. If you’re performing prompt engineering, you should persist your prompts to a reliable data store.