A Beginner's Guide to AI

The big players (Google, Meta, Amazon, Microsoft, Apple...) have it all: data, GPUS, money, people - but what about the average, normal firms not with billions of dollars in their pockets? How can you create a good AI model, say, your own LLM, without these resources? In this episode of the Beginner's Guide to AI I ask Bidhan Roy, CEO of Bagel, how his firm is creating a community of firms that exchange data and resources, save and secure and protected. He is not the Robin Hood of AI, but his firm is creating a counterweight to the big players. Tune in to get some insights on how that works! --- Want to know more about Bagel and Bidhan Roy? Visit their website, where also their insightful blog lies: ⁠https://www.bagel.net⁠ or ⁠follow them on X!⁠ --- Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to my Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Want to get in contact? Write me an email: [email protected] --- This podcast was generated without the help of ChatGPT, Mistral and Claude 3 ;) Music credit: "Modern Situations" by Unicorn Heads.

In this episode of The Beginner's Guide to AI, I dive into the art of crafting perfect prompts for AI and tackle a common challenge: making systems memorable. I share how I developed a five-category prompt system and the hurdles I faced when trying to turn it into something easy to recall. With the help of AI tools like ChatGPT, Mistral, and Claude, I experiment with acronyms—from failed attempts to breakthroughs—and reveal how "C.R.A.F.T." became the perfect solution. Whether you’re an educator, a student, or just curious about making AI more practical, this episode is packed with actionable insights! Tune in to get my thoughts, and don't forget to subscribe to our Newsletter! Want to get in contact? Write me an email: [email protected] This podcast was generated with the help of ChatGPT, Mistral, and Claude 3 - but just a little bit this time 😉 Music credit: "Modern Situations" by Unicorn Heads.

In this episode of A Beginner’s Guide to AI, we explore the hidden risks of over-relying on artificial intelligence. From the erosion of essential human skills to ethical dilemmas and job displacement, we uncover why leaning too heavily on AI can have unintended consequences. Using relatable analogies and a real-world case study, we demonstrate the importance of maintaining a balance between human ingenuity and machine efficiency. This episode isn’t just about understanding the challenges—it’s about empowering you to use AI responsibly and effectively without losing your edge. Tune in to get my thoughts, and don't forget to subscribe to our Newsletter! Want to get in contact? Write me an email: [email protected] This podcast was generated with the help of ChatGPT, Mistral, and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output. And, by the way, it's read by an AI voice. --- Music credit: "Modern Situations" by Unicorn Heads

What does it take to create an AI that truly thinks and learns like a human? In this episode, Peter Voss, the CEO and Chief Scientist of Aigo.ai and the co-creator of the term "Artificial General Intelligence" (AGI), joins us to break down the future of AI. Peter explains why current AI systems, like large language models, fall short of true intelligence and how AGI offers a groundbreaking approach to building thinking machines. From the limitations of big data to the promise of cognitive AI, Peter shares insights on what makes human intelligence so powerful—and how AI can replicate it. This podcast was generated without the help of ChatGPT, Mistral, and Claude 3 😎 --- To go deeper into the topic, you'll find Aigo here: Aigo.ai And you can find Peter on ⁠LinkedIn⁠! --- Tune in to get my thoughts, don't forget to ⁠⁠subscribe to our Newsletter⁠⁠!_ Want to get in contact? Write me an email: ⁠⁠[email protected]⁠⁠ --- Music credit: "Modern Situations" by Unicorn Heads.