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AI Podcasts & Discussions

Long-form interviews, panel discussions, and podcast episodes about AI.

30 items in this collection
23
What happens when the model CAN'T fix it? Interview w/ software engineer Landon Gray [Podcast #213]

What happens when the model CAN'T fix it? Interview w/ software engineer Landon Gray [Podcast #213]

Today Quincy Larson interviews Landon Gray. He's a software engineer who worked at agencies for years. Then he taught himself AI assisted software development. And now he's helping other devs do the same. Landon's famous for proving that RAG pipelines can be written in Ruby and popularizing Ruby as a language for building machine learning projects. He works as an AI Engineer at a enterprise software company and runs a popular newsletter. We talk about: - How Large Language Models are just the raw fuel, and harnesses are the real engine to get things done - Why building your professional network is so helpful for finding clients and landing job interviews - Why Landon helped port Python machine learning libraries to Ruby, and why he thinks that – now that AI is just an API call away – the Ruby ecosystem is better-positioned than ever. Support for this podcast comes from the 10,113 kind folks who donate to our charity each month. Join them and support our mission at https://donate.freecodecamp.org Get a freeCodeCamp tshirt for $20 with free shipping anywhere in the US: https://shop.freecodecamp.org Links from our discussion: - Landon's Substack newsletter: https://landongray.substack.com Community news section: 1. freeCodeCamp just published a new YouTube course that will teach you beginner Front-end Development skills like HTML, CSS, and JavaScript. You can code along at home and build a variety of projects: your own interactive quiz game, a currency converter app, and even a Trello-style kanban board. Along the way you'll learn how to use APIs and local storage to extend the functionality of these bite-sized apps. (12 hour YouTube course): https://www.freecodecamp.org/news/build-19-web-dev-projects-using-html-css-javascript/ 2. Learn how to properly test your software and ensure it doesn't break when you add new features. Prolific freeCodeCamp instructor Beau Carnes teaches this course. He'll introduce you to the Testing Pyramid and show you how to balanc

25
AI Foundations for Absolute Beginners

AI Foundations for Absolute Beginners

Learn the basics of artificial intelligence. This course is for absolute beginners. This course was created by learnaianywhere.org and released to support the goals of National AI Literacy Day. You can learn more at https://learnaianywhere.org and download the resources used. For more on AI Literacy Day, check out ailiteracyday.org or their YouTube playlist: https://www.youtube.com/watch?v=vihMGH6aqTY&list=PLGhqQNp1xV3McvqOTfJmX2mAuuZqOKMEs ⭐️ Contents ⭐️ - 00:00 Welcome To The Course - 01:46 Prerequisite - 02:51 Symbol Key - 03:19 Lesson 1: What is AI - Objectives - 03:35 Lesson 1: What is AI - What Is AI AI or Not: https://learnaianywhere.org/courses/ai-literacy-for-everyone/ai-or-not - 05:39 Lesson 1: What is AI - How AI Can Help Us Recap Quiz: https://learnaianywhere.org/courses/ai-literacy-for-everyone/recap-quiz-1 - 07:14 Lesson 1: What is AI - Project Time - 09:06 Lesson 2: The Key Parts of Machine Learning - Objectives - 09:27 Lesson 2: The Key Parts of Machine Learning - What is Machine Learning - 12:01 Lesson 2: The Key Parts of Machine Learning - Neuropocket Tutorial - 14:39 Lesson 2: The Key Parts of Machine Learning - AI Tools Can Make Mistake Recap Quiz: https://learnaianywhere.org/courses/ai-literacy-for-everyone/recap-quiz-2 - 16:27 Lesson 2: The Key Parts of Machine Learning - Project Time - 17:20 Lesson 3: How Do Machines Train - Objectives - 18:06 Lesson 3: How Do Machines Train - The Describer Drawer Game - 19:51 Lesson 3: How Do Machines Train - The Describer Drawer Game Demonstration - 23:07 Lesson 3: How Do Machines Train - What Is An Algorithm - 25:37 Lesson 3: How Do Machines Train - The Human Learning Algorithm - 30:25 Lesson 3: How Do Machines Train - The Machine Learning Algorithm Recap Quiz: https://learnaianywhere.org/courses/ai-literacy-for-everyone/recap-quiz-3 - 38:05 Lesson 3: How Do Machines Train - Project Time - 39:07 Lesson 4: Can Machines Be Responsible - Objectives - 39:34 Lesson 4: Can Machines Be Resp

26
Deploying AI Models with Hugging Face – Hands-On Course

Deploying AI Models with Hugging Face – Hands-On Course

This tutorial is a comprehensive, end-to-end guide to the Hugging Face ecosystem, showing how modern AI moves from research ideas to real, deployed systems. Rather than focusing on a single model or task, the course presents Hugging Face as the operating system of modern AI—connecting models, datasets, libraries, demos, and deployment into one coherent, practical workflow. Source Code (GitHub): https://github.com/MOHAMMEDFAHD/Hugging-Face/tree/main/Hugging-Face-Course Hugging Face Atlas Page: https://programming-ocean.com/knowledge-hub/hugging-face-atlas.php Course developed by @programmingoceanacademy ⭐️ Chapters ⭐️ — 0:00:00 Introduction — 0:01:22 Transformers Library in Hugging Face — 2:07:45 Audio Models in Hugging Face — 2:59:08 Diffusers Library in Hugging Face — 3:56:03 Video Models in Hugging Face — 4:35:37 Gradio Library in Hugging Face — 6:18:37 Spaces and Deployment in Hugging Face ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp 🎉 Thanks to our Champion and Sponsor supporters: 👾 @omerhattapoglu1158 👾 @goddardtan 👾 @akihayashi6629 👾 @kikilogsin 👾 @anthonycampbell2148 👾 @tobymiller7790 👾 @rajibdassharma497 👾 @CloudVirtualizationEnthusiast 👾 @adilsoncarlosvianacarlos 👾 @martinmacchia1564 👾 @ulisesmoralez4160 👾 @_Oscar_ 👾 @jedi-or-sith2728 👾 @justinhual1290 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

28
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494

Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494

Jensen Huang is the co-founder and CEO of NVIDIA, the world's most valuable company and the engine powering the AI computing revolution. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep494-sb See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. *Transcript:* https://lexfridman.com/jensen-huang-transcript *CONTACT LEX:* *Feedback* - give feedback to Lex: https://lexfridman.com/survey *AMA* - submit questions, videos or call-in: https://lexfridman.com/ama *Hiring* - join our team: https://lexfridman.com/hiring *Other* - other ways to get in touch: https://lexfridman.com/contact *EPISODE LINKS:* NVIDIA: https://nvidia.com NVIDIA on X: https://x.com/nvidia NVIDIA AI on X: https://x.com/NVIDIAAI NVIDIA on YouTube: https://youtube.com/@NVIDIA NVIDIA on Instagram: https://www.instagram.com/nvidia/ NVIDIA on LinkedIn: https://www.linkedin.com/company/nvidia/ NVIDIA on Facebook: https://www.facebook.com/NVIDIA/ NVIDIA on GitHub: https://github.com/NVIDIA Nemotron: https://developer.nvidia.com/nemotron *SPONSORS:* To support this podcast, check out our sponsors & get discounts: *Perplexity:* AI-powered answer engine. Go to https://lexfridman.com/s/perplexity-ep494-sb *Shopify:* Sell stuff online. Go to https://lexfridman.com/s/shopify-ep494-sb *LMNT:* Zero-sugar electrolyte drink mix. Go to https://lexfridman.com/s/lmnt-ep494-sb *Fin:* AI agent for customer service. Go to https://lexfridman.com/s/fin-ep494-sb *Quo:* Phone system (calls, texts, contacts) for businesses. Go to https://lexfridman.com/s/quo-ep494-sb *OUTLINE:* 0:00 - Introduction 0:33 - Extreme co-design and rack-scale engineering 3:18 - How Jensen runs NVIDIA 22:40 - AI scaling laws 37:40 - Biggest blockers to AI scaling laws 39:23 - Supply chain 41:18 - Memory 47:24 - Power 52:43 - Elon and Colossus 56:11 - Jensen's approach to engineering and leadership 1:01:37 - China 1:09:50 - TSMC and Taiwan 1:15:04 - NVIDIA's moat 1:20:41 -

29
Introduction to Pooling Layer in CNN | Max Pooling, Average Pooling

Introduction to Pooling Layer in CNN | Max Pooling, Average Pooling

Understanding CNNs becomes much easier once you master one key concept — the Pooling Layer. In this video, Varun sir will break down the Introduction to Pooling Layer in CNN, covering both Max Pooling and Average Pooling in a simple and practical way. Whether you’re a beginner in Deep Learning or preparing for exams, interviews, or projects — this video will give you a clear and strong foundation. #cnn #ann #deeplearning #neuralnetworks -------------------------------------------------------------------------------------------------------------------------------------- Timestamps: 00:07 – Introduction to Pooling 01:18 – Memory Requirement Problem in CNN 03:45 – Max Pooling 05:56 – Types of Pooling -------------------------------------------------------------------------------------------------------------------------------------- 🔹 Gate Smashers Shorts: Watch quick concepts & short videos here: https://www.youtube.com/@GateSmashersShorts 🔹 Subscribe for more shorts and motivational content: https://www.youtube.com/@varunainashots Subject-wise playlist Links: -------------------------------------------------------------------------------------------------------------------------------------- ►Design and Analysis of algorithms (DAA): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHcmS4i14bI0VrMbZTUvlTa ►Software Engineering (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiEed7SKZBnC6ypFDWYLRvB2 ►Database Management System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiFAN6I8CuViBuCdJgiOkT2Y ►Cloud Computing: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHRHVUtR-O52MsrdUSrzuy4 ► Theory of Computation https://www.youtube.com/playlist?list=PLxCzCOWd7aiFM9Lj5G9G_76adtyb4ef7i ►Artificial Intelligence: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHGhOHV-nwb0HR5US5GFKFI ►Computer Networks (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiGFBD2-2joCpWOLUrDLvVV_ ►Operating System: https://www.y

30
#352 AI Agents at Work: What Actually Breaks (and How to Fix It) with Danielle Crop, WNS

#352 AI Agents at Work: What Actually Breaks (and How to Fix It) with Danielle Crop, WNS

AI agents are spreading across the data and AI industry, promising to automate everything from research to outreach. At the same time, teams are learning that these tools can hallucinate, leak data, or act in surprising ways. In day-to-day work, the challenge is deciding which tasks to hand off, what data to share, and how to keep the output trustworthy. Do your agents actually add value, or just add noise? Are they running in a secured, ring-fenced environment? How do you balance playful experimentation with critical checking when an agent confidently gets a key fact wrong? Danielle leads go-to-market strategy at WNS, Capgemini's AI transformation services arm. Previously, Danielle was Chief Data Officer at American Express and Albertsons. She also write The Remix substack on technology trends, and is an Editorial Board Member for CDO Magazine. In the episode, Richie and Danielle explore AI agents at work, experimentation with guardrails, data privacy, access, tone controls, OpenClaw automation wins and failures, token costs, tying AI plans to P&L strategy, shifts in careers and hiring, how data teams handle unstructured data governance, and much more. Find DataFramed on DataCamp https://www.datacamp.com/podcast and on your preferred podcast streaming platform: Apple Podcasts: https://podcasts.apple.com/us/podcast/dataframed/id1336150688 Spotify: https://open.spotify.com/show/02yJXEJAJiQ0Vm2AO9Xj6X?si=d08431f59edc4ccd Links Mentioned in the Show: WNS - https://www.wns.com/ AI-Native Course: Intro to AI for Work - https://www.datacamp.com/courses/introduction-to-ai-for-work Catch Danielle speaking at RADAR—April 1 - https://events.datacamp.com/radar-ai-human Related Episode: AI Agents Are the New Shadow IT (And Your Governance Isn’t Ready) with Stijn Christiaens, CEO at Collibra - https://www.datacamp.com/podcast/ai-agents-are-the-new-shadow-it New to DataCamp? Learn on the go using the DataCamp mobile app - https://www.datacamp.com/mobile Empower your busin

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