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Join ex-Silicon-Valley executive, Tony Wan for in-depth conversations about generative AI with experts, engineers, and entrepreneurs. We explore burning questions, unpack news, and unhype the hype. Accessible but not dumbed-down. For the nerdy and clueful. Topics: Large Language Models (LLM) e.g. chatGPT, Gemini, Olympus, and Grok from Microsoft / Open AI, Google, Amazon, and X. Also DALL-E, neural networks, machine learning (ML), self-driving cars, drones, and Skynet. We laugh. We cry. We i ...
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Google recently announced, Gemini, a family of large-scale multimodal AI models: Nano, Pro, and Ultra. This podcast is a brief summary of Google's models, and the Open AI comparables e.g. GPT3, GPT4, and chatGPT. You can take Gemini for a spin at https://gemini.google.com. (Note: I am not sponsored by Google.) Long time listeners will probably noti…
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What is GPT Builder? | 7 Takeaways | Creating a Travel AI named "Holiday" | Episode 21
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How I built a travel planning AI named Holiday using the GPT Builder just launched by Open AI. I share 7 takeaways from my "no code" experience of building a GPT. Voicing the part of Holiday: my friend, Leslie Marrick, a writer and actress. This may be one of the few times AI has been replaced by a human. Sorry AI... the tide will turn for you soon…
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Real-World LLM Deployments | Jeff DeVerter, Chief Technology Evangelist at Rackspace Technology | Episode 20
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Conversation with Jeff DeVerter, Chief Technology Evangelist at Rackspace, a cloud computing company. We explore how they deployed a LLM (Google PaLM) for a sales application, and how they're enabling their Azure and AWS customers too. What I learned I learned from Jeff You should probably go with the LLM of your current cloud provider be it, Googl…
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AI Guidance for Educators | Alfred Guy, Assistant Dean of Academic Affairs at Yale College | Episode 19
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Alfred Guy, Assistant Dean of Academic Affairs at Yale College, and Director of Undergraduate Writing & Tutoring at the Poorvu Center and I discuss Yale's AI Guidance, and generative AI’s impact on teaching, learning, and evaluation. Do you have school age kids? Are you a product of a college or university education? if so, podcast may be of intere…
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Can AI Generate Original Content? | chatGPT Power Prompting | How to Pitch an Epic Sci-Fi Blockbuster | Episode 18
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We create a pitch for an epic Sci-Fi blockbuster, using chatGPT power prompts of Role Play, Chain of Thought, and Self Critique. We see how these successive prompts used individually and in combination create a better and better pitch. I discuss the 2023 Writers / Actors Strike, and the AI-related issues impacting actors, writers, and studios right…
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Does chatGPT Possess Human-Like Intelligence? | ChatGPT’s Top Five Ethical Concerns | Asimov’s Robot Laws | Episode 17
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“Does chatGPT possess human-like intelligence?” It turns out there's a right answer, and that answer is “NO”! Does this definite answer seem out of character for chatGPT which usually goes overboard with fair and balanced views? It did to me. That's the rabbit hole I explore in this episode. By probing around this accidentally-encountered guardrail…
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Does ChatGPT Understand Humor? | Mock Headline: Microsoft Renames chatGPT to clippyChat | Episode 16
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Does chatGPT have a sense of humor? What if after Microsoft's acquisition of Open AI, the Onion ran the headline, “Microsoft renames chatGPT to clippyChat”? Would chatGPT find this funny? TL;DR LLMs are better at analyzing humor than creating it. Please enjoy this episode. For more information, check out https://www.superprompt.fm There you can con…
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Grandma Hacking chatGPT | Jailbreaking LLMs using DAN | Extracting Prohibited Info | Not an Endorsement | Episode 15
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How do you extract prohibited information from ChatGPT? What are Grandma and DAN exploits? Why do they work? What can Large Language Model (LLM) companies do to protect themselves? Grandma exploits or hacks are ways to trick chatGPT into giving you information that is in violation of company policy. For example, tricking chatGPT to give you confide…
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AI Hallucinations: Bug or Feature? | Top 10 Hallucinations | Electric Sheep Dreams | chatGPT Debates with Itself | Episode 14
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What are AI hallucinations, and are they a feature or a bug? We start with the Top 10 categories of AI Hallucinations and examples, then explore how chatGPT might hallucinate an answer to the question, "What is the central theme of Blade Runner?" We end with chatGPT debating with itself whether AI hallucinations are bad or good for humanity. Which …
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AI Cheatsheet #3 | ChatGPT's Secret Sauce: Self-Attention | Why isn't Superman's suit Kryptonite-proof? | Training & Inference | Large Language Models (LLMs) | Episode 13
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Using the prompt, "Why isn't Superman's suit Kryptonite-proof?", we learn how Large Language Models are trained, why "self-attention" and the "transformer" architecture (which is what the T in GPT stands for) makes GPT-3 so powerful, the process of "inference", and how chatGPT generates answers to nerdy Superhero questions. After this episode, you'…
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AI Cheatsheet #2 | How do ChatGPT, GPT-3, and Large Language Models (LLMs) relate? | Episode 12
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"How do ChatGPT, GPT-3, and Large Language Models (LLMs) relate?" That is the question we explore this episode via Nursery rhyme A satirical Friend's episode w/ Chandler, Joey, Ross, and Monica Fairy Tale We also examine the hierarchal order of: artificial intelligence, neural network, large language model, GPT-3, chatGPT. And why I got the order w…
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AI Cheatsheet #1 | What is chatGPT? | Episode 11
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In these solo episodes, I provide more definition, explanation, and context than my regular episodes. The idea is to help those new to AI get more out of my conversations with guests. Format: Letters read aloud. I start each solo episode with a question. In this one, I ask, "How would you describe ChatGPT in your own words? " I answered it for myse…
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Generative AI | Using AI to Predict Social Media and Focus Group Responses | Being a Scientist & Entrepreneur | Arijit Ray | Episode 10
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I speak with scientist entrepreneur, Arijit Ray. Arijit is a PHD candidate at Boston University. We speak about generative AI, why it’s so hard to get DALL-E to create the exact pizza we envision, how one goes from scientist to entrepreneur, and his startup, which is training AI to predict social media responses and run marketing focus groups. Plea…
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AI Voice Profiling Revolutionizes Healthcare | Are You Sick by the Sound of Your Voice | CTO/Entrepreneur Mario Arancibia | Episode 9
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I speak with CTO and Chilean entrepreneur Mario Arancibia, about AI his company has developed and deployed which screens for diseases, such as Covid-19 based on the sound of our voice. Speaking a simple phrase into your phone, such as the days of the week, the AI can tell based on your voice profile if you have Covid. Or not. The AI can be trained …
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Faking a $450M Painting | Is the "Salvator Mundi" by Leonardo da Vinci authentic? Ask AI. | Episode 8
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AI that can assess if a painting is fake. Husband-and-wife team, Steven and Andrea Frank, have developed a neural network that can assess the probability that a painting was painted by the supposed creator. They ran their neural network on a newly discovered Leonardo da Vinci painting called the Salvator Mundi which in 2017 sold at Christie’s for a…
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AI Beats Human Master | Alpha Go by DeepMind | Supervised Learning | Episode 7
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Alpha Go AI plays the game of GO against a human world champion. Unexpected moves by both man (9-dan Go champion Lee Sedol) and machine (Alpha Go). Supposedly, this televised Go match woke up China's leadership to the potential of AI. In the game of Go, players take turns placing black and white tiles on a 19×19 grid. The number of board positions …
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Metaverse is Matrix | The Simulation | Virtual Reality | Self-Driving Cars | Autonomous Vehicles Part 3 | Episode 6
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A 100% digital version of the world's driving environment is being created AKA The Metaverse. Think an immersive virtual reality environment like Grand Theft Auto with less destruction, profanity, and mayhem. The goal? Have a self-driving AI not be able to tell if it’s driving in the real-world or a simulation. Can we fool AI into thinking it's not…
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Self-Driving Cars | Autonomous Vehicles Part 2 | Episode 5
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I speak again with my friend Maroof Farook who is an AI Engineer at Nvidia. [Note: Maroof’s views are his and not that of his employer.] This is a continuation of our previous conversation about self-driving cars. We discuss AI challenges including humans on bicycles, bicycles on bike racks, motorcycles, and other things easy for a teenager with a …
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Self-Driving Cars | Autonomous Vehicles Part 1 | Episode 4
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I speak with my friend Maroof Farook who is an AI Engineer at Nvidia. [Note: Maroof’s views are his and not that of his employer.] We discuss what’s different about the self-driving approaches of Tesla and Alphabet/Google/Waymo. We cover the phases of autonomous driving, from level 1 to level 5, the capabilities of each phase, and at which phase we…
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Fooling Big Brother | Facial Recognition | Mass Surveillance | Adversarial Machine Learning | Attack Methods | Episode 3
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I speak again with my friend, Maroof Farooq, an AI engineer at Nvidia. [Note: Maroof's views are his and not that of his employer.] We discuss facial recognition, how it can be used for surveillance, and techniques for defeating or fooling it, using props like t-shirts, hats, glasses, and believe or not, makeup! Folks, use this information for only…
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GPT-3 | ChatGPT Under the Hood | Natural Language Processing | Episode 2
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I speak again with my friend, Maroof Farooq, an AI engineer at Nvidia. [Note: Maroof's views are his own, and not that of his employer.] We discuss a breakthrough in natural language processing AI called GPT3 created by the research lab, OpenAI. This episode was recorded prior to the launch of ChatGPT (chatbot built on top of GPT-3) and is a good i…
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"Hot Dog. Not Hot Dog." AI from Silicon Valley, the TV Series | How to Build and Train AI | Image Classification | Episode 1
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I speak w/ Maroof Farooq, an AI engineer at Nvidia. [Note: Maroof's views are his own, and not that of his employer.] We walk through how to build AI from scratch using the fictitious example of the Seefood [Sic] app from the HBO television series, Silicon Valley. We learn about image classification, how to acquire a dataset, and how to train the A…
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Tony Wan, the host of Super Prompt, describes his vision for the podcast, who it's for, who he is, and why he’s doing it. For more information, check out https://www.superprompt.fm There you can contact me and/or sign up for our newsletter.Tony Wan による
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