Best Generative AI Podcasts (2024)

1
What is the Elo Rating System? 7:43

3h ago7:43

7:43

In this episode of Generative AI 101, we discover the origins and workings of the Elo Rating System—a clever, adaptable method originally designed to rank chess players but now influencing everything from online gaming to, most importantly for us, AI models. We’ll explore how this simple yet effective system predicts match outcomes, adjusts ranking…

1
Interview with Jeff Cooper - The Future of Health Monitoring Sensors 1:59:58

14h ago1:59:58

1:59:58

In this episode of the Generative AI Meetup Podcast we dive into the world of wearables and fitness trackers. We have an in depth interview with Jeff Cooper, a seasoned professional with experience at Nokia, Samsung, Javelin missile, and currently working on his own gym simulator. The conversation explores the potential downsides of wearable techno…

1
LMSYS Org & Chatbot Arena 6:00

6h ago6:00

6:00

In this episode of Generative AI 101, we’re exploring the need-to-know LMSYS Org and their innovative Chatbot Arena. LMSYS Org, a collaboration between top minds at UC Berkeley, UC San Diego, and Carnegie Melon University, is breaking new ground by making powerful AI models accessible to everyone. They’re not just creating AI—they’re building a com…

1
How do you evaluate Generative AI? 7:55

2d ago7:55

7:55

In this episode of Generative AI 101, we explore evaluating Generative AI large language models (LLMs). Just like finding the best restaurant in town means more than judging a single dish, evaluating AI models requires a comprehensive approach. We break down why assessing performance, comparing models, and building user trust are central to evaluat…

1
What are AI Hallucinations? 6:13

7d ago6:13

6:13

In this episode of Generative AI 101, we’re tackling the curious case of AI hallucinations—when AI creates content that’s completely off the mark. We’ll explore how these digital daydreams happen, why humans aren’t immune to similar slip-ups, and the impact these hallucinations can have. Whether amusing or alarming, AI hallucinations are a phenomen…

1
Fine-Tuning GenAI Prompts 8:41

8d ago8:41

8:41

In this episode of Generative AI 101, we’re fine-tuning your AI prompting skills. Learn how to refine prompts to turn mediocre responses into top-tier results. We’ll cover techniques like iterative prompting, using context, and applying constraints, along with ethical considerations to ensure fairness. Get ready to make your AI work smarter, not ha…

1
The Bias & Blunders of GenAI 6:42

2h ago6:42

6:42

In this episode of Generative AI 101, we’re exploring the various flavors of generative AI bias and inaccuracy—those pesky issues that make your AI sound like it’s stuck in a 1950s sitcom. From data-driven biases baked into AI’s training to sneaky algorithmic quirks and the all-too-human flaws we project onto our creations, we explore how to recogn…

1
What is BAB Prompting? 4:31

3h ago4:31

4:31

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…

1
What is CARE Prompting? 6:53

15d ago6:53

6:53

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 …

1
What is RACE Prompting? 5:19

7d ago5:19

5:19

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 …

1
What is RTF Prompting? 8:08

21d ago8:08

8:08

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…

1
What is Self-Consistency Prompting? 7:49

22d ago7:49

7:49

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…

1
What is Chain-of-Thought (CoT) Prompting? 6:00

1d ago6:00

6:00

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…

1
If you plant a steak in the ground will it grow? 43:59

5d ago43:59

43:59

This week on the Generative AI Meetup Podcast, hosts Mark and Shashank dive into the latest developments at OpenAI, including the dramatic changes in leadership and potential shifts in company ethics. We also tease the mysterious Project Strawberry and its potential impact on AI. Tune in to hear our insights on where OpenAI stands now and what the …

1
What is Few-Shot Prompting? 8:06

7d ago8:06

8:06

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 …

1
What is One-Shot Prompting? 5:56

10d ago5:56

5:56

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…

1
What is Zero-Shot Prompting? 7:15

11d ago7:15

7:15

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, …

1
How Long Until the Dyson Sphere? Exploring the Future of AI 36:53

11d ago36:53

36:53

Welcome back to the Generative AI Meetup Podcast! After a brief hiatus, hosts Mark and Shashank return with fresh insights from a recent event held in a historic Silicon Valley location. This episode delves into the role of AI agents in transforming workflows and enhancing various business processes. The discussion kicks off with highlights from th…

1
Writing the Perfect Prompt 8:29

1M ago8:29

8:29

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…

1
The Anatomy of a Good Prompt 7:31

1M ago7:31

7:31

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…

1
What is Prompt Engineering? 7:01

16d ago7:01

7:01

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…

1
What is Meta's LLaMa? 7:23

1M ago7:23

7:23

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…

1
What is Microsoft Copilot? 6:41

1M ago6:41

6:41

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 …

1
What is Mistral AI? 8:30

1M ago8:30

8:30

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…

1
For the love of spreadsheets! 47:46

25d ago47:46

47:46

In this week’s episode of the Generative AI Meetup Podcast, hosts Mark and Shashank dive into the latest advancements in generative AI. They kick off with a detailed exploration of Mistral Nemo, a new AI model that has set a benchmark with its unprecedented 128K context window. The discussion then shifts to an intriguing development at Microsoft, w…

1
What is Anthropic's Claude? 7:20

1M ago7:20

7:20

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…

1
What is Google's Gemini? 5:25

1M ago5:25

5:25

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…

1
What is ChatGPT? 6:56

2M ago6:56

6:56

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…

1
Are AI Agents the key to AGI? 35:45

1M ago35:45

35:45

In this episode, Mark and Shashank dive into the intriguing world of AI agents. The duo unpacks the fundamental concepts of what AI agents are and how they function within workflows. They explore why these agents are garnering attention as the next big thing in the AI landscape. The episode also offers insights into practical applications and poten…

1
How LLMs Make Coherent Text 5:54

2M ago5:54

5:54

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…

1
Training Large Language Models (LLMs 4:31

2M ago4:31

4:31

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…

1
The Evolution of Large Language Models (LLMs) 5:04

2M ago5:04

5:04

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-…

1
What is a Large Language Model (LLM)? 3:59

2M ago3:59

3:59

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…

1
Natural Language Processing Techniques & Concepts 5:01

2M ago5:01

5:01

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…

1
Natural Language Processing (NLP) Concepts 4:55

2M ago4:55

4:55

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…

1
The History of Natural Language Processing (NLP) 5:26

2M ago5:26

5:26

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…

1
AI in the Oval Office? An In-Depth Exploration 43:06

2M ago43:06

43:06

Join us on this week’s episode of the Generative AI Meetup Podcast, where hosts Mark and Shashank dive into the intriguing scenario of AI running government affairs, inspired by the current presidential debates. Amidst the backdrop of the debates between Joe Biden and Donald Trump, we explore the hypothetical: What if an AI model, instead of a pers…

1
What is Natural Language Processing (NLP)? 5:07

2M ago5:07

5:07

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…

1
Transformers Mini Series: How do Transformers Process Text? 6:56

2M ago6:56

6:56

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…

1
Transformers Mini Series: How do Transformers work? 8:12

2M ago8:12

8:12

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…

1
What is a Transformer? 6:28

2M ago6:28

6:28

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…

1
Gym Membership Challenge: Can ChatGPT Outsell a Human? 1:33:02

2M ago1:33:02

1:33:02

In this week's episode of the Generative AI Meetup Podcast, Mark and Shashank embark on an intriguing experiment: testing if AI can effectively perform jobs traditionally done by humans. They explore whether ChatGPT 4o and custom GPTs can replace salespeople and therapists by role-playing real-life scenarios. Can AI handle sales pitches and provide…

1
Deep Learning Mini Series: What are Recurrent Neural Networks (RNNs)? 6:47

2M ago6:47

6:47

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…

1
Deep Learning Mini Series: What are Convolutional Neural Networks (CNNs)? 6:40

2M ago6:40

6:40

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…

1
Deep Learning Mini Series: What is a Neural Network? 7:27

2M ago7:27

7:27

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…

1
Machine Learning Mini Series - What is Reinforcement Learning? 6:55

2M ago6:55

6:55

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…

1
Machine Learning Mini Series - What is Unsupervised Learning? 7:52

2M ago7:52

7:52

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…

1
Power and Responsibility of Large Language Models | Safety & Ethics | OpenAI Model Spec + RLHF | Anthropic Constitutional AI | Episode 27 16:38

3M ago16:38

16:38

With great power comes great responsibility. How do Open AI, Anthropic, and Meta implement safety and ethics? As large language models (LLMs) get larger, the potential for using them for nefarious purposes looms larger as well. Anthropic uses Constitutional AI, while OpenAI uses a model spec, combined with RLHF (Reinforcement Learning from Human Fe…

1
Machine Learning Mini Series - What is Supervised Learning? 7:54

2M ago7:54

7:54

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…

1
Did Apple steal AI? 36:06

3M ago36:06

36:06

In this engaging episode we delve into the latest from Apple's WWDC announcements. With a particular focus on Apple's bold redefinition of AI—from Artificial to Apple Intelligence—we explore the implications for consumers and the tech industry at large. We look at Apple's unique position with vertically integrated hardware, software and apps that f…

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