cyberkinesis Core Alignment Model (Sensemaking)

Tag#efficiency

Maximizing Efficiency and Profits in Small Towns through In-house Production

M

So we get some of these ideas that it's better to produce some things in-house to bring the cost down. If you work in a city where you have a lot of feet and you have a lot of service and optimisation required, then it's worthwhile mitigating that, increasing your expenses for the sake of efficiency, but if you have standing time and you have space, that you produce product. So out of season, you...

Overcome the Challenge of Miscommunication and Master Prompt Engineering to Achieve Precise and Relevant Results.

O

Are you struggling to get the exact results you want from AI? Let's examine how to transform your communicate with AI systems, ensuring your commands are understood perfectly every time. AI and machine learning are revolutionizing industries, the ability to craft precise and effective prompts is more crucial than ever. Learn how to bridge the gap between human intention and AI interpretation...

Mastering Prompt Engineering for the AI Era

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Prompt engineering as a discipline doesn’t get nearly the respect it deserves. At its core, prompt engineering involves crafting inputs for AI language models to elicit precise, relevant, and valuable responses. This burgeoning field has two primary facets: mastering the art of writing effective prompts and developing software that leverages these prompts, even when faced with challenges like...

cyberkinesis Core Alignment Model (Sensemaking)

John Deacon

Information entrepreneur and digital brand developer; creator of the Core Alignment Model (CAM), a framework for adaptive digital transformation that integrates observation, orientation, decision-making, and action to streamline dynamic and comprehensive reasoning in humans and machines for enhanced sensemaking.

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