Why does adding structure to AI workflows work so well? Fundamentally, there are four key reasons. Methodologies like FRAME™:
Why create a structured workflow?
8 Matching Annotations
- Last 7 days
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drphilippahardman.substack.com drphilippahardman.substack.com
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- Oct 2025
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www.youtube.com www.youtube.com
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how we can build AI system that are more like biological system
for - building AI systems more like biological systems
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basically absent or very seldom present in current AI systems
for - comparison - biological vs AI systems
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- May 2025
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www.cmarix.com www.cmarix.com
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The answer most technocrats are leaning towards is vector search technology and Retrieval-Augmented Generation (RAG) models that improve AI experiences. These intelligent search systems are fundamentally changing how users discover information, interact with applications, and receive personalized experiences across industries.
Explore how embedding intelligence transforms Vector Search and RAG (Retrieval-Augmented Generation) models. Learn the key benefits, use cases, and implementation strategies for smarter AI-driven search systems.
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www.cmarix.com www.cmarix.com
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Most legacy apps that aren’t putting efforts into modernization or AI integration are either breaking even, or nearing their demise due to the inability to deliver personalized experiences and use data-driven insights that define market leaders in artificial intelligence legacy systems implementations.
Integrating modern technologies into outdated infrastructures doesn't have to be a challenge. Discover how businesses are successfully integrating AI into legacy systems with NET Core to boost performance, enable predictive insights, and stay ahead in the competitive digital world.
From enhancing data processing to automating workflows, AI and .NET Core offer the perfect synergy to modernize applications without a complete rebuild. 💡
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- Nov 2024
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en.wikipedia.org en.wikipedia.org
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Stafford Beer coined and frequently used the term POSIWID (the purpose of a system is what it does) to refer to the commonly observed phenomenon that the de facto purpose of a system is often at odds with its official purpose
the purpose of a system is a what it does, POSIWID, Stafford Beer 2001. Used a starting point for understanding a system as opposed to intention, bias in expectations, moral judgment, and lacking context knowledge.
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- Sep 2023
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less well known is that the same person was really 00:01:02 interested in morphogenesis
- for: Alan Turing, morphogenesis, AI - morphogenesis, self-organizing systems
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- Jan 2021
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opentheory.net opentheory.net
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At any rate, if CSHW can be used to build a good quantitative model of human-human interactions, it might also be possible to replicate these dynamics in human-computer interactions. This could take a weak form, such as building computer systems with a similar-enough interactional syntax to humans that some people could reach entrainment with it; affective computing done right.
[[Aligning Recommender Systems]]
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