{"podcast":{"title":"Gradient Dissent: Conversations on AI","slug":"gradient-dissent","podcast_index_feed_id":1020509,"rss_url":"https://feeds.captivate.fm/gradient-dissent/","website_url":"https://wandb.ai/site/resources/podcast","image_url":"https://artwork.captivate.fm/25fd1181-b46e-459b-85a5-d397eec4cdcf/JDLDW81K-wlJoAWL7ZnxLdTp.jpg","author":"Lukas Biewald","episode_count":136,"summary":"Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/gradient-dissent"},"episode":{"title":"Jeremy Howard — The Simple but Profound Insight Behind Diffusion","slug":"jeremy-howard-the-simple-but-profound-insight-behind-diffusion","published_at":"2023-01-05T12:00:00+00:00","page_url":"https://stenobird.com/podcast/gradient-dissent/jeremy-howard-the-simple-but-profound-insight-behind-diffusion","show_page_url":"https://stenobird.com/podcast/gradient-dissent","url":"https://wandb.ai/site/resources/podcast","audio_url":"https://podcasts.captivate.fm/media/9e0de7d8-434e-4829-8333-eeb51ef82ca8/GD-JeremyHoward-v3.mp3","summary":"Jeremy Howard is a co-founder of fast.ai, the non-profit research group behind the popular massive open online course \"Practical Deep Learning for Coders\", and the open source deep learning library \"fastai\". Jeremy is also a co-founder of #Masks4All, a global volunteer organization founded in March 2020 that advocated for the public adoption of homemade face masks in order to help slow the spread of COVID-19. His Washington Post article \"Simple DIY masks could help flatten the curve.\" went viral in late March/early April 2020, and is associated with the U.S CDC's change in guidance a few days later to recommend wearing masks in public. In this episode, Jeremy explains how diffusion works and how individuals with limited compute budgets can engage meaningfully with large, state-of-the-art models. Then, as our first-ever repeat guest on Gradient Dissent, Jeremy revisits a previous conversation with Lukas on Python vs. Julia for machine learning. Finally, Jeremy shares his perspective on the early days of COVID-19, and what his experience as one of the earliest and most high-profile advocates for widespread mask-wearing was like. Show notes (transcript and links): http://wandb.me/gd-jeremy-howard-2 --- ⏳ Timestamps: 0:00 Intro 1:06 Diffusion and generative models 14:40 Engaging with large models meaningfully 20:30 Jeremy's thoughts on Stable Diffusion and OpenAI 26:38 Prompt engineering and large language models 32:00 Revisiting Julia vs. Python 40:22 Jeremy's science advocacy during early COVID days 1:01:03 Researching how to improve children's education 1:07:43 The importance of executive buy-in 1:11:34 Outro 1:12:02 Bonus: Weights & Biases --- 📝 Links 📍 Jeremy's previous Gradient Dissent episode (8/25/2022): http://wandb.me/gd-jeremy-howard 📍 \"Simple DIY masks coul…","meta_description":"Jeremy Howard is a co-founder of fast.ai, the non-profit research group behind the popular massive open online course \"Practical Deep Learning for Coders\"…","key_points":[],"chapters":[],"topics":[],"duration_seconds":4377,"processing_state":"failed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/gradient-dissent/episodes/jeremy-howard-the-simple-but-profound-insight-behind-diffusion/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/gradient-dissent/jeremy-howard-the-simple-but-profound-insight-behind-diffusion.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}