Welcome to Generative AI 101, your go-to podcast for learning the basics of generative artificial intelligence in easy-to-understand, bite-sized episodes. Join host Emily Laird to explore key concepts, applications, and ethical considerations, making AI accessible for everyone.
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Author, TV writer, and comedian Emily Winter interviews other performers about their personal experiences with the paranormal. Theme music by Kevin Macleod.
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The Daily Gardener is a podcast about Garden History and Literature. The podcast celebrates the garden in an "on this day" format and every episode features a Garden Book. Episodes are released M-F.
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In this episode of Generative AI 101, we catch a wave into the BAB framework (we're totally calling it "BABE")—an effortlessly cool method for crafting AI prompts that turn "meh" into "tubular!" BAB, short for Before, After, and Bridge, guides you from dull, lifeless AI interactions to responses that shine like a pro surfer catching the perfect wav…
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In this episode of Generative AI 101, we explore CARE Prompting—a sophisticated method that prioritizes Craft, Audience, Response, and Evaluation to fine-tune AI outputs. CARE Prompting is designed to create responses that go beyond accuracy, ensuring they resonate deeply and reflect a comprehensive understanding of your goals. If you enjoyed this …
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In this episode of Generative AI 101, we’re taking a high-speed tour of the RACE Prompting method—where Role, Audience, Context, and Example aren’t just pit stops, but the keys to better communication. Ready to take your AI skills to the next lap? Connect with Emily Laird on LinkedIn. Stay tuned for more laps around the ever-evolving circuit of AI …
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In this episode of Generative AI 101, we explore the ins and outs of RTF Prompting—an approach that sharpens your AI's focus by defining its Role, Task, and Format. Whether you're tasking your AI with writing a travel blog, analyzing financial data, or extracting historical records, RTF Prompting provides the clarity and structure needed to achieve…
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In this episode of Generative AI 101, we break down the concept of self-consistency prompting—a technique that enhances AI accuracy by posing the same question in multiple ways and selecting the most consistent answer. By guiding your large language model through varied prompts, this method improves performance on complex reasoning tasks and reduce…
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What is Chain-of-Thought (CoT) Prompting?
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In this episode of Generative AI 101, we break down the concept of chain-of-thought prompting—a technique that helps AI models think through complex tasks step by step, improving their logical and accurate responses. By guiding the AI, or your large language model of choice, through detailed instructions, this method enhances performance on tasks l…
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In this episode of Generative AI 101, we explore the example-heavy world of few shot prompting. Imagine describing a dish you love to a chef and then offering them multiple recipes on how to make it. That's few-shot prompting—maximum input, maximum efficiency. We'll explore how this technique can turn your AI into a translation whiz or a sentiment …
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In this episode of Generative AI 101, we dive into the art of one-shot prompting. Imagine teaching someone a recipe with just one perfect example instead of a whole cookbook. That's one-shot prompting—minimal input, maximum efficiency. We'll explore how this technique can turn your AI into a translation whiz or a sentiment analysis expert with just…
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Join us on Generative AI 101 as we demystify zero-shot prompting—a technique that lets LLMs perform tasks without prior examples. Imagine whipping up a dish you've never heard of with no recipe; that's zero-shot prompting in action. We’ll explore how AI models leverage vast pre-existing knowledge to answer questions, classify sentiments, and more, …
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In this episode of Generative AI 101, we continue with the art of crafting the perfect prompt for AI. Much like brewing the perfect cup of coffee, the right balance of persona, output format, context, examples, and instructions can transform a bland response into a rich, engaging answer. Tune in as Emily breaks down these five key elements, provide…
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In this episode of Generative AI 101, we uncover the art of crafting perfect prompts for AI. Think of it as giving precise instructions to a master chef. We'll break down the anatomy of a prompt into three key components: instructions, context, and constraints. By comparing effective and ineffective examples, we show you how to transform vague requ…
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In this episode of Generative AI 101, we dig into the world of prompt engineering. Think of it as giving your AI precise instructions, like ordering the perfect Starbucks beverage. We’ll explore how writing effective prompts can turn an AI into a super-smart assistant, capable of generating compelling text, aiding customer support, and analyzing la…
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Join us as we explore the world of Meta's LLaMA in this episode of Generative AI 101. From its origins in 2013 with Facebook AI Research (FAIR), led by AI visionary Yann LeCun, to the groundbreaking release of LLaMA models in 2023, we'll explore how Meta has pushed the boundaries of AI. Discover the evolution from the initial LLaMA leak that took t…
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Get ready to meet Microsoft Copilot, the AI assistant that's redefining productivity. Launched in February 2023, Copilot evolved from Bing Chat to become a versatile tool embedded in Microsoft 365. Powered by OpenAI’s GPT-4 and the Microsoft Prometheus model, Copilot excels at everything from drafting emails and analyzing data to creating stunning …
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Bonjour, tech-savvy wanderers! In this episode of Generative AI 101, we're diving fork-first into Mistral AI, the French powerhouse in the world of artificial intelligence. Founded by ex-Google DeepMind and Meta researchers, Mistral AI offers cutting-edge models that are shaking up the industry. From the versatile Mistral Large and Small to the sha…
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In this episode of Generative AI 101, we explore the world of Anthropic's Claude AI—a chatbot born from the minds of ex-OpenAI siblings and backed by tech giants like Google and Amazon. Picture Claude as the cool, thoughtful cousin of ChatGPT, capable of handling 200,000 tokens at once. With the latest iteration, Claude 3.5 Sonnet, this AI sets new…
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In this episode of Generative AI 101, we explore the slick, high-octane world of Google's Gemini. Think of it as the James Bond of AI—sharp, sophisticated, and always ahead of the curve. We’ll dish out the inside scoop on Gemini’s cutting-edge tech, from its inception to its rise as a superstar in the AI universe. Get ready to explore its suave cap…
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In this episode of Generative AI 101, we explore the modern marvel that is ChatGPT. Discover what "GPT" stands for and how this "Generative Pre-trained Transformer" operates, processing text like a high-powered engine. Learn what ChatGPT can do, from generating human-like responses to engaging in multi-language conversations and analyzing vast text…
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In this episode of Generative AI 101, go on an insider’s tour of a large language model (LLM). Discover how each component, from the transformer architecture and positional encoding to the multi-head attention layers and feed-forward neural networks, contributes to creating intelligent, coherent text. We’ll explore tokenization and resource managem…
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In this episode of Generative AI 101, we explore the intricate process of training Large Language Models (LLMs). Imagine training a brilliant student with the entire internet as their textbook—books, academic papers, Wikipedia, social media posts, and code repositories. We’ll cover the stages of data collection, cleaning, and tokenization. Learn ho…
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The Evolution of Large Language Models (LLMs)
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In this episode of Generative AI 101, we trace the evolution of Large Language Models (LLMs) from their early, simplistic beginnings to the sophisticated powerhouses they are today. Starting with basic models that struggled with coherence, we'll see how the introduction of transformers in 2017 revolutionized the field. Discover how models like GPT-…
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In this episode of Generative AI 101, we explore Large Language Models (LLMs) and their significance. Imagine chatting with an AI that feels almost human—you're likely interacting with an LLM. These models, trained on massive datasets, understand and generate text with impressive accuracy. With billions of parameters, they handle a wide range of ta…
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Natural Language Processing Techniques & Concepts
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In this episode of Generative AI 101, we explore the core techniques and methods in Natural Language Processing (NLP). Starting with rule-based approaches that rely on handcrafted rules, we move to statistical models that learn patterns from vast amounts of data. We'll explain n-gram models and their limitations before diving into the revolution br…
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Natural Language Processing (NLP) Concepts
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In this episode of Generative AI 101, we break down the fundamental concepts of Natural Language Processing (NLP). Imagine trying to read a book that's one long, unbroken string of text—impossible, right? That’s where tokenization comes in, breaking text into manageable chunks. We’ll also cover stemming and lemmatization, techniques for reducing wo…
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The History of Natural Language Processing (NLP)
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In this episode of Generative AI 101, we journey through the captivating history of Natural Language Processing (NLP), from Alan Turing's pioneering question "Can machines think?" to the game-changing advancements of modern AI. Discover how NLP evolved from early rule-based systems and statistical methods to the revolutionary introduction of machin…
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What is Natural Language Processing (NLP)?
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Let's explore Natural Language Processing (NLP). Picture this: you’re chatting with your phone, asking it to find the nearest pizza joint, and it not only understands you but also provides a list of places with mouth-watering photos. That’s NLP in action. We'll explain how NLP allows machines to interpret and respond to human language naturally, li…
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Transformers Mini Series: How do Transformers Process Text?
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In this episode of Generative AI 101, we explore how Transformers break down text into tokens. Imagine turning a big, colorful pile of Lego blocks into individual pieces to build something cool—this is what tokenization does for AI models. Emily explains tokens, and how they work, and shows you why they’re the magic behind GenAI’s impressive output…
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Transformers Mini Series: How do Transformers work?
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In part two of our Transformer mini-series, we peel back the layers to uncover the mechanics that make Transformers the rock stars of the AI world. Think of this episode as your backstage pass to understanding how these models operate. We’ll break down the self-attention mechanism, comparing it to having superhuman hearing at a party, and explore t…
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In this episode, we discover the fascinating world of Transformers. Imagine it's the early days of AI, with RNNs and LSTMs doing the heavy lifting, but struggling with long-range dependencies like forgetful grandparents. Enter the Transformer model—a revolutionary architecture introduced in 2017 by Google’s "Attention is All You Need" paper. Transf…
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Deep Learning Mini Series: What are Recurrent Neural Networks (RNNs)?
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In this episode of our deep learning mini-series, we explore Recurrent Neural Networks (RNNs). Imagine reading a mystery novel, keeping track of all the clues and characters—RNNs are like your super-intelligent reading buddy, remembering past events to make sense of the present. Perfect for processing sequences of data like text and speech, RNNs ar…
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Deep Learning Mini Series: What are Convolutional Neural Networks (CNNs)?
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In our latest deep learning mini-series episode, we unravel the mysteries of Convolutional Neural Networks (CNNs). Imagine you're at an art gallery with a robot that can analyze every brushstroke and tell you what the artist had for breakfast. That’s CNNs for you—the eagle-eyed inspectors of the neural network family, adept at interpreting visual d…
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Deep Learning Mini Series: What is a Neural Network?
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In this episode of Generative AI 101, we kick off our deep learning mini-series with Neural Networks 101. Think of neural networks as the brain behind the operation, minus the forgetfulness. We’ll break down the basics, from neurons and layers to weights and biases, and explain how these algorithms mimic the human brain. We’ll also dive into real-w…
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Machine Learning Mini Series - What is Reinforcement Learning?
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In this episode of our machine learning mini-series, we explore the world of Reinforcement Learning (RL). Think of RL as the rebellious teenager of the machine learning family, eager to learn through trial and error. We’ll break down the basics: from agents and environments to actions, rewards, and policies. Using engaging analogies like training a…
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Machine Learning Mini Series - What is Unsupervised Learning?
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Join us as we explore unsupervised learning in our Machine Learning mini-series. Imagine being at a lively party, figuring out who’s who without any introductions—that’s unsupervised learning in action. This episode covers how algorithms identify patterns and group data without labeled examples. We’ll dig into key applications like customer segment…
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Machine Learning Mini Series - What is Supervised Learning?
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Let's continue our Machine Learning mini series by exploring the fascinating world of supervised learning. Imagine training a puppy—teaching it commands with treats, the really good kind. That's the essence of supervised learning: using labeled data (input-output pairs) to train algorithms to make accurate predictions on new data. Learn key aspects…
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Machine Learning Mini Series - What is Machine Learning?
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Let's demystify the captivating world of machine learning - in this first of a mini series on machine learning! Discover the differences between AI and machine learning, explore how algorithms work, and see real-world applications like Netflix recommendations and self-driving cars come to life. Whether you're an AI enthusiast or just curious about …
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Decoding AI, Machine Learning, and Deep Learning
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Have you ever wondered what distinguishes AI from machine learning or deep learning? By the end of this episode, you’ll not only have a clear understanding of these pivotal terms but also be equipped to dazzle your peers with your newfound insights. Episode Highlights: Artificial Intelligence (AI): Discover how AI, the master chef of the tech kitch…
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This week we explore the fascinating evolution of generative AI, from its origins with the Turing Test to the transformative advancements in neural networks, GANs, and transformers. Discover how these breakthroughs have integrated AI into our daily lives, revolutionizing fields like healthcare, education, and entertainment. I want to hear from you!…
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Step into the world of Generative AI with Generative AI 101! Hosted by Emily Laird, a university lecturer and AI aficionado, this podcast answers one key question: What is Generative AI? Emily breaks down the complex concepts behind tools like ChatGPT and DALL-E, showing how they create human-like text and stunning images. Perfect for students, pro…
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Cool Rock w Vanessa (Pants) Tortolano
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Find Vanessa on Instagram HAPPY HOLIDAYS!Bởi Big Pond Podcasts
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Wisconsin comedian Lizzie Kirch talks about her ghost hunt with the Gettsyburg Paranormal Association, a haunted night in grad school, and how working in hospice care has made her less of a skeptic. Follow Lizzie on IG!Bởi Big Pond Podcasts
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Comedian Julius Carr has spent his life studying spiritual texts, and has had significant divine interventions. Follow him on IG @juliuscarrofcomedy and see his bimonthly show Drive By Comedy at NYC's Broadway Comedy Club.Bởi Big Pond Podcasts
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Brooklyn comedian Jonas Barnes lost his fiancé this year, but she came back to give him one last message.Bởi Big Pond Podcasts
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Energy Imprints and Manifesting w Erin Morris
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Erin grew up in a haunted house, which is why she's not afraid when she sees a ghost in Mississippi. She also talks manifesting and spirituality in this fascinating episode. Follow Erin on Instagram @_ErinMorris.Bởi Big Pond Podcasts
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The Invisible Plane Crash (and other amazing stories) w Hansen Sinclair
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Hansen Sinclair has MANY ghost stories from Jamaica and The Bahamas. This special Halloween episode even includes his near death experience, and how he shocked his doctor by awaking suddenly from a coma. You can follow Hansen on TikTok.Bởi Big Pond Podcasts
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Teresa rents a haunted house during a traumatic time in her life, and that inspires her to join a group of paranormal investigators.Bởi Big Pond Podcasts
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When did Marc get his ability to sense spirits? Was it when he died? When he lived in a haunted house? Or when he and his friends had a creepy experience as teenagers? Listen to this week's amazing episode and let us know what you think! You can find Marc performing with Monkey Business Improv.Bởi Big Pond Podcasts
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Cory McCaffery Sigler has an EVP from right after his friend's mysterious death. He also lived in a haunted house and consulted with a psychic about it. So much going on! You can follow Haunted as Hell and host Emily Winter on Instagram.Bởi Big Pond Podcasts
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***The COMEDIANS WITH GHOST STORIES podcast is now HAUNTED AS HELL*** Filmmakers Sierra and Katelyn Laird travel to a haunted mining town to shoot their indie film. The property has remained relatively untouched since the 19th Century and—as the sisters learn—is teeming with negative energy. You can find The Laird Sisters on YouTube, TikTok, and In…
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"Doggy Bags of Bad Vibes" w Shannon Norman
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Shannon and his friends steal from an abandoned Pennsylvania tuberculosis ward, and take home more than they bargained for. Follow Shannon on Instagram @shambonez and @goodenoughcomedypgh You can also follow Emily @EmilyMcWinter and @comedians_with_ghost_stories on IG. Thanks for listening! If you love this pod, please rate and review it on Apple o…
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