Artificial Intelligence #263
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Artificial Intelligence #263

Hey, in this issue: the end of programming as we know it; your most important customer may be AI; the impact of generative AI on critical thinking; an unexpected reinforcement learning renaissance; can deep learning transform heart failure prevention?; the curse of depth in large language models; and more.

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Thanks for sharing such an insightful issue, Andriy It’s fascinating to see how AI is not just transforming technology but also reshaping how we approach critical thinking, healthcare, and even customer dynamics. The reinforcement learning renaissance and the challenge of depth in LLMs are particularly intriguing.

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Great posting! I especially enjoyed reading the article titled "The End of Programming as We Know It". I don't buy it either. Programmer roles will change and adapt to remain relevant. ML and NLP are not new. Amazing computing power and deep learning advances have uncovered exciting new technology that enriches any experience we can conceptualize through new software that integrates the technology. Integrating the technology into software to support the experiences will be the role of programmers and engineers as it always has been. Thanks for sharing.

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Ammara Aftab (Pro AI Lady)

Founder @ Pro AI Global | AI Corporate Trainer | AI Influencer | AI Caster | Agentic AI | Gen AI | Meta & Google Certified Marketing Specialist | Digital Transformation | Project Management | Community Building | Rotary

4 天前

Your insights on the potential transformation of heart failure prevention through deep learning are particularly compelling. How do you foresee AI reshaping critical thinking in this context? #AIInfluencer #AILady #AI Pro AI Global - Global AI Community

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Nazar Asgar

Co founder at Toqsoft | AI & Mobile App Innovation Strategist | Helping Enterprise Leaders Transform Their Business Through Custom Software Solutions | Expert in Cloud, ML & Cybersecurity

4 天前

Absolutely! Reliable AI starts with trusted data. The real challenge lies in staying current, continuously monitoring model performance, and ensuring data quality. While data governance is crucial, it’s just one piece of a much larger puzzle that requires careful management. AI-driven programming is complex but essential for achieving relevant and reliable outcomes. ??

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