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AI’s Got Some Explaining to Do

Towards AI

Yet, for all their sophistication, they often can’t explain their choices — this lack of transparency isn’t just frustrating — it’s increasingly problematic as AI becomes more integrated into critical areas of our lives. What is Explainability AI (XAI)? It’s particularly useful in natural language processing [3].

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IBM watsonx Platform: Compliance obligations to controls mapping

IBM Journey to AI blog

The platform incorporates the innovative Prompt Lab tool, specifically engineered to streamline prompt engineering processes. Notably, the prompt text, model references, and prompt engineering parameters are meticulously formatted as Python code within notebooks, allowing for seamless programmable interaction.

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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. The second apes the BBC; AI decisions that affect people should not be made without a human arbiter.

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Understanding Generative AI Through Critical Thinking and Implementation

ODSC - Open Data Science

This approach, he noted, applies equally to leveraging AI in areas like data management, marketing, and customer service. Right now, effective prompt engineering requires a careful balance of clarity, specificity, and contextual understanding to get the most useful responses from an AI model.

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7 Dumb Reasons People Aren’t Using AI

ODSC - Open Data Science

“I still don’t know what AI is” If you’re like my parents and think I work at ChatGPT, then you may have to learn a little bit more about AI. Funny enough, you can use AI to explain AI. Most AI-based programs have plenty of good tutorials that explain how to use the automation side of things as well.

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What is Chain-of-Thought (CoT) Prompting? Examples & Benefits

Unite.AI

However, when it comes to complex reasoning tasks that require multiple steps of logical thinking, traditional prompting methods often fall short. This is where Chain-of-Thought (CoT) prompting comes into play, offering a powerful prompt engineering technique to improve the reasoning capabilities of large language models.

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

AWS Machine Learning Blog

At AWS, we are committed to developing AI responsibly , taking a people-centric approach that prioritizes education, science, and our customers, integrating responsible AI across the end-to-end AI lifecycle. What constitutes responsible AI is continually evolving. This is a powerful method to reduce hallucinations.