OM DENNA PODDSĂNDNING 🔗
Welcome to "Decode AI" Podcast!
đ Are you ready to unravel the mysteries of artificial intelligence? Join us on an exciting journey through the fascinating world of AI, where we'll decode the basics and beyond. đ§ From understanding the fundamentals of AI to exploring cutting-edge tools like Copilot and other AI marvels, our podcast is your ultimate guide. đĄ Get ready to dive deep into the realm of artificial intelligence and unlock its secrets with "Decode AI." Subscribe now and embark on an enlightening adventure into the future of technology! đ
Willkommen beim "Decode AI" Podcast!
đ Bist du bereit, die Geheimnisse der kĂŒnstlichen Intelligenz zu entrĂ€tseln? Begleite uns auf einer spannenden Reise durch die faszinierende Welt der KI, wo wir die Grundlagen und mehr entschlĂŒsseln werden. đ§ Vom VerstĂ€ndnis der Grundlagen der KI bis hin zur Erkundung modernster Tools wie Copilot und anderen KI-Wundern ist unser Podcast dein ultimativer Leitfaden. đĄ Mach dich bereit, tief in das Reich der kĂŒnstlichen Intelligenz einzutauchen und ihre Geheimnisse mit "Decode AI" zu enthĂŒllen. Abonniere jetzt und begebe dich auf ein aufklĂ€rendes Abenteuer in die Zukunft der Technologie! đ
Uppdateringsfrekvens:
every 38 days
Genomsnittlig ljudlÀngd:
47 minutes
GĂ€stintervjuer
Engelsk
USA
17 avsnitt
sedan 9 april 2024
episodic
SENASTE AVSNITTET 🔗
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Hallo liebe Community,
Vibe Coding klingt nach Softwareentwicklung auf Zuruf: Idee formulieren, AI Agents losschicken und wenig spĂ€ter ist die fertige Anwendung da. In der Praxis kann das Ergebnis allerdings auch ein technisch funktionierendes Produkt sein, das nur leider niemand bâŠ
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TIDIGARE AVSNITT 🔗
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Hallo liebe Community,
Decode AI ist zurĂŒck - mit neuem Konzept, höherer Frequenz und einem Thema, das weit ĂŒber den nĂ€chsten AI-Hype hinausgeht: Vibe Coding, Agents und die Frage, wie aus einer schnellen Idee verlĂ€ssliche Software wird. Michael berichtet von seinem Multi-Agenten-TâŠ
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In this episode of Decode AI, hosts Michael Plettner and Ralf Richter explore the latest advancements in artificial intelligence, including Claude 4's safety features, Google's VU3 for video production, the introduction of local AI models with AI Edge, and the reasoning câŠ
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In this episode of Decode AI, Ralf and Michael explore the evolving landscape of autonomous AI agents, focusing on OpenAI's Codex and its implications for software development. They discuss the capabilities of Codex and GitHub Copilot, delve into decision-making processes in AâŠ
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In this episode of the Decode AI Podcast, hosts Michael Plettner and Ralf Richter discuss the latest developments in AI, focusing on the Microsoft Certified Professional (MCP) and its implications for security. They explore the concept of line jumping, the risks associated with MCPâŠ
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Summary
In this episode of Decode AI, Michael Plettner and Ralf Richter discuss the latest advancements in AI technologies, including the Model Context Protocol (MCP), enhancements to M365 Copilot, and the new features of GitHub Copilot. They explore the implications of autonomous âŠ
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keywords
#DeepSeek, #AIModels, #OpenAI, #security, #bias, #jailbreaking, #prompts, #communityEngagement, #dataPrivacy, #technology
summaryIn this episode, Michael and Ralf discuss the significant impact of DeepSeek R1 on the tech market, its features, and comparisons with other AI âŠ
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In this engaging conversation, Ralf Richter, Michael Plettner, and Femke Cornelissen discuss the evolving landscape of technology, particularly focusing on the role of women in tech and the impact of AI. They explore Femke's journey in the tech industry, the significance of coâŠ
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In this episode of the Decode AI Podcast, hosts Michael and Ralf discuss the evolution of their podcast format, focusing on the current state of AI, customer perspectives, and the importance of understanding use cases. They explore the challenges businesses face in implementing AI,âŠ
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In dieser Episode von DECODE AI fĂŒhren die Moderatoren Ralf Richter und Michael Plettner eine umfassende Diskussion mit Michael Greth ĂŒber die Entwicklung und praktischen Anwendungen der KĂŒnstlichen Intelligenz (KI). Michael teilt seinen Werdegang von der Arbeit mit Microsoft-TechnâŠ
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